Jornadas de Atualização em Informática 2017

5 Million Records Stolen from Community Health by Chinese Hackers (2014). Infosecurity Magazine, [link], Acessado em: 03.04.2017.

A. Berlonghi, “Understanding and planning for different spectator crowds,” vol. 18, no. 4, pp. 239–247, 1995-02-01T00:00:00. [Online]. Available: [link]

A. Braun, S. R. Musse, L. P. L. d. Oliveira, and B. E. J. Bodmann, “Modeling individual behaviors in crowd simulation,” in CASA ’03: Proceedings of the 16th International Conference on Computer Animation and Social Agents (CASA 2003). Washington, DC, USA: IEEE Computer Society, 2003, p. 143.

Aazam, M., Khan, I., Alsaffar, A. A., and Huh, E.-N. (2014). Cloud of things: Integrating internet of things and cloud computing and the issues involved. In Applied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on, pages 414–419. IEEE.

Aggarwal, C. C. and Yu, P. S. (2008). A framework for condensation-based anonymization of string data. Data Min. Knowl. Discov., 16(3):251–275.

Aggarwal, G., Feder, T., Kenthapadi, K., Motwani, R., Panigrahy, R., Thomas, D., and Zhu, A. (2005). Anonymizing Tables. Springer Berlin Heidelberg, Berlin, Heidelberg.

Al Nuaimi, E., Al Neyadi, H., Mohamed, N., and Al-Jaroodi, J. (2015). Applications of big data to smart cities. Journal of Internet Services and Applications, 6(1):25.

AlAwadhi, S. and Scholl, H. J. (2013). Aspirations and realizations: The smart city of seattle. In System Sciences (HICSS), 2013 46th Hawaii International Conference on, pages 1695–1703. IEEE.

Anagnostopoulos, T., Kolomvatsos, K., Anagnostopoulos, C., Zaslavsky, A., and Hadjiefthymiades, S. (2015). Assessing dynamic models for high priority waste collection in smart cities. Journal of Systems and Software, 110:178 – 192.

Anderson, J. C., Lehnardt, J., and Slater, N. (2010). CouchDB: the definitive guide. "O’Reilly Media, Inc.".

Apolinarski, W., Iqbal, U., and Parreira, J. X. (2014). The gambas middleware and sdk for smart city applications. In Pervasive Computing and CommunicationsWorkshops (PERCOM Workshops), 2014 IEEE International Conference on, pages 117–122.

Bain, M. (2014). Sentilo - sensor and actuator platform for smart cities.

Baker, K., Greenberg, S., & Gutwin, C. (2002, November). Empirical development of a heuristic evaluation methodology for shared workspace groupware. In Proceedings of the 2002 ACM conference on Computer supported cooperative work (pp. 96-105). ACM.

Bakıcı, T., Almirall, E., and Wareham, J. (2013). A smart city initiative: the case of barcelona. Journal of the Knowledge Economy, 4(2):135–148.

Banker, K. (2011). MongoDB in action. Manning Publications Co.

Barabási, A. and Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439):509–512.

Barba, C. T., Mateos, M. A., Soto, P. R., Mezher, A. M., and Igartua, M. A. (2012). Smart city for vanets using warning messages, traffic statistics and intelligent traffic lights. In Intelligent Vehicles Symposium (IV), 2012 IEEE, pages 902–907. IEEE.

Barbosa, S.D.J. e Silva, B.S. (2010) Interação Humano-Computador. Rio de Janeiro: Editora Campus-Elsevier.

Barbour, R. (2009). Grupos focais: coleção pesquisa qualitativa. Bookman Editora.

Berkhin, P. (2006). A Survey of Clustering Data Mining Techniques. Grouping Multidimensional Data, pages 25–71.

Bim, S.A., Salgado, L.C.C. e Leitão, C. F. (2016) Avaliação por Inspeção: Comparação entre Métodos de Base Prática, Cognitiva e Semiótica. In Anais do XV Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais.

Blackmon, M. H., Polson, P. G., Kitajima, M., & Lewis, C. (2002, April). Cognitive walkthrough for the web. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 463-470). ACM.

Blandford, A. E. (2013). Semi-structured qualitative studies. Soegard. M.., & Dam, R. F. (Eds). The Encyclopedia of Human-Computer Interaction. 2nd edition. The Interaction Design Foundation. Aarhus, Denmark.

Blocki, J., Datta, A., and Bonneau, J. (2016). Differentially private password frequency lists. IACR Cryptology ePrint Archive, 2016:153.

Branco Jr, E. C., Machado, J. C., and Monteiro, J. M. (2014). Estratégias para proteção da privacidade de dados armazenados na nuvem. In XXIX SBBD: Tópicos em Gerenciamento de Dados e Informações 2014. Sociedade Brasileira de Computação (SBC).

C. Cocking and J. Drury, “The mass psychology of disasters and emergency evacuations: a research report and implications for the fire and rescue service,” Fire Safety, Technology and Management, vol. 10, no. 2, pp. 13–19, 2008. [Online]. Available: [link]

C. D. Boatright, M. Kapadia, J. M. Shapira, and N. I. Badler, “Generating a multiplicity of policies for agent steering in crowd simulation,” Computer Animation and Virtual Worlds, pp. n/a–n/a, 2014. [Online]. Available: DOI: 10.1002/cav.1572

C. McPhail, The Myth of the Madding Crowd. New York, USA:Walter de Gruyter, 1991.

C. R. M. Challenger, Rose; Clegg, Understanding Crowd Behaviours: Guidance and Lessons Identified. York, UK: The Cabinet Office Emergency Planning College, 2009.

Cairns, P., e Cox, A. L. (Eds.). (2008). Research methods for human-computer interaction (Vol. 12). New York (NY): Cambridge University Press.

Calbimonte, J.-P., Sarni, S., Eberle, J., and Aberer, K. (2014). Xgsn: An open-source semantic sensing middleware for the web of things. In 7th International Workshop on Semantic Sensor Networks, number EPFL-CONF-200926.

Caragliu, A., Del Bo, C., and Nijkamp, P. (2011). Smart cities in europe. Journal of urban technology, 18(2):65–82.

Cardoso, R. S. and Issarny, V. (2007). Architecting pervasive computing systems for privacy: A survey. In The Working IEEE/IFIP Conference on Software Architecture, 2007. WICSA’07. IEEE.

Carter, S. e Mankoff, J. When participants do the capturing: the role of media in diary studies. In Proceedings of the SIGCHI conference on Human factors in computing systems. 2005 Apr 2 (pp. 899-908). ACM.

Cecchinato, M. E., Sellen, A., Shokouhi, M., & Smyth, G. (2016, May). Finding email in a multi-account, multi-device world. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 1200-1210). ACM.

Chagas, B. A. (2015) End-User Configuration in Assistive Technologies. A case study with a severely physically impaired user. Dissertação de Mestrado. PUC-Rio. Disponível em [link]

Chen, M., Mao, S., and Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2):171–209.

Cheng, B., Longo, S., Cirillo, F., Bauer, M., and Kovacs, E. (2015). Building a big data platform for smart cities: Experience and lessons from santander. In Big Data (BigData Congress), 2015 IEEE International Congress on, pages 592–599.

Chin, J.P.; Diehl, V. & Norman, K. (1988). Development of an instrument measuring user satisfaction of the human-computer interface. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '88), J. J. O'Hare (Ed.). ACM, New York, NY, USA, 213-218. DOI: 10.1145/57167.57203.

Clarkson, E., e Arkin, R. C. (2007). Applying Heuristic Evaluation to Human-Robot Interaction Systems. In Flairs Conference (pp. 44-49).

Clifton, C. and Tassa, T. (2013). On syntactic anonymity and differential privacy. Transactions on Data Privacy, 6(2):161–183.

Cocchia, A. (2014). Smart and digital city: A systematic literature review. In Dameri, R. P. and Rosenthal-Sabroux, C., editors, Smart City, Progress in IS, pages 13–43. Springer International Publishing.

Coetzee, L. and Eksteen, J. (2011). The internet of things – promise for the future? an introduction. In IST-Africa Conference Proceedings, 2011, pages 1–9.

Conselho Nacional de Saúde. (2012) Resolução número 466/12 sobre pesquisas envolvendo seres humanos. Disponível em: [link]

Conselho Nacional de Saúde. (2016) Resolução número 510/16: Especificidades Éticas das Pesquisas nas Ciências Sociais e Humanas e de outras que se utilizam de metodologias próprias dessas áreas. Disponível em: [link]

Corbin, J., e Strauss, A. (2008). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (3rd ed.). Thousand Oaks, CA: Sage

Creswell, J. W. (2009) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 3rd Edition. Los Angeles: Sage Publications.

D. Helbing, I. Farkas, and T. Vicsek, “Simulating dynamical features of escape panic,” Nature, vol. 407, pp. 487–490, Sep 2000. [Online]. Available: [link]

D. Thalmann and S. R. Musse, Crowd Simulation - Second Edition. Springer-Verlag London Ltd, 2013.

da Matta, R. (1978) O Ofício do Etnólogo ou como ter anthropological blues. Boletim do Museu Nacional, Rio de janeiro. Disponível em: [link] (Última visita em maio, 2017).

Dameri, R. P. (2013). Searching for smart city definition: a comprehensive proposal. International Journal of Computers & Technology, 11(5):2544–2551.

Data Protection Laws of the World. [link], Acessado em: 09.05.2017.

de Souza, C. S. (2005). The semiotic engineering of human-computer interaction. MIT press.

de Souza, C. S., Leitão, C. F., Prates, R. O., & da Silva, E. J. (2006). The semiotic inspection method. In Proceedings of VII Brazilian symposium on Human factors in computing systems (pp. 148-157). ACM.

de Souza, C. S.; Leitão, C.F.; Prates, R. O.; Bim, S.A. e da Silva, E.J. (2010) Can inspection methods generate valid new knowledge in HCI? The case of semiotic inspection. International Journal of Human-Computer Studies, v. 68, p. 22-40.

de Souza, C.S. e Leitão, C.F. (2009) Semiotic engineering methods for scientific research in HCI. San Francisco, Calif.: Morgan & Claypool.

Dean, J. and Ghemawat, S. (2008). Mapreduce: Simplified data processing on large clusters. Commun. ACM, 51(1):107–113.

Demchenko, Y., de Laat, C., and Membrey, P. (2014). Defining architecture components of the big data ecosystem. In Collaboration Technologies and Systems (CTS), 2014 International Conference on, pages 104–112. IEEE.

Denzin, N. K. e Lincoln, Y. S. (2006) O Planejamento da Pesquisa Qualitativa: Teorias e abordagens. Porto Alegre: ARTMED, 2006.

Dewri, R., Ray, I., Ray, I., and Whitley, D. (2008). On the optimal selection of k in the k-anonymity problem. In 24th ICDE International Conference on Data Engineering, pages 1364–1366.

Diamantaki, K., Rizopoulos, C., Tsetsos, V., Theona, I., Charitos, D., and Kaimakamis, N. (2013). Integrating game elements for increasing engagement and enhancing user experience in a smart city context. In Intelligent Environments (Workshops), pages 160–171.

Díaz-Díaz, R., Muñoz, L., and Pérez-González, D. (2017). The business model evaluation tool for smart cities: Application to smartsantander use cases. Energies, 10(3).

Ding, R., Wang, Q., Dang, Y., Fu, Q., Zhang, H., and Zhang, D. (2015). Yading: fast clustering of large-scale time series data. Proceedings of the VLDB Endowment, 8(5):473–484.

Directive 95/46/EC of the European Parliament. [link], Acessado em: 09.05.2017.

Distefano, S., Merlino, G., and Puliafito, A. (2012). Enabling the cloud of things. In Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, pages 858–863. IEEE.

Djahel, S., Doolan, R., Muntean, G., and Murphy, J. (2014). A communications-oriented perspective on traffic management systems for smart cities: Challenges and innovative approaches. Communications Surveys Tutorials, IEEE, PP(99):1–1.

Domingo-Ferrer, J. and Torra, V. (2001). A quantitative comparison of disclosure control methods for microdata. Confidentiality, disclosure and data access: theory and practical applications for statistical agencies, pages 111–134.

Domingo-Ferrer, J., Sánchez, D., and Soria-Comas, J. (2016a). Database anonymization: Privacy models, data utility, and microaggregation-based inter-model connections. Synthesis Lectures on Information Security, Privacy, & Trust, 8(1):1–136.

Domingo-Ferrer, J., Sánchez, D., and Soria-Comas, J. (2016b). Database anonymization: Privacy models, data utility, and microaggregation-based inter-model connections. Synthesis Lectures on Information Security, Privacy, & Trust, 8(1):1–136.

Dwork, C. (2006). Differential privacy. In 33rd International Colloquium on Automata, Languages and Programming, pages 1–12.

Dwork, C. (2008). Differential privacy: A survey of results. In International Conference on Theory and Applications of Models of Computation, pages 1–19. Springer.

Dwork, C., Roth, A., et al. (2014). The algorithmic foundations of differential privacy. Foundations and Trends in Theoretical Computer Science, 9(3-4):211–407.

E. D. Kuligowski, R. D. Peacock, and B. L. Hoskins, “A review of building evacuation models, 2nd edition,” Technical Note (NIST TN) - 1680, December 2010. [Online]. Available: [link]

E. Kuligowski and S. Gwynne, “What a user should know when selecting an evacuation model,” Fire Protection Engeneering, pp. 600–611, Oct. 2005. [Online]. Available: [link]

E. T. Hall, The hidden dimension / Edward T. Hall, [1st ed.] ed. Doubleday, Garden City, N.Y. :, 1966.

Economist, T. (2010). The data deluge. The Economist.

Eigenbrod, A., Courbin, F., Sluse, D., Meylan, G., and Agol, E. (2008). Microlensing variability in the gravitationally lensed quasar qso 2237+0305 ≡ the einstein cross. i. spectrophotometric monitoring with the vlt. Astronomy & Astrophysics, 480(3):647–661.

Elgamal, T., Yabandeh, M., Aboulnaga, A., Mustafa, W., and Hefeeda, M. (2015). spca: Scalable principal component analysis for big data on distributed platforms. In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD ’15, pages 79–91, New York, NY, USA. ACM.

Elmangoush, A., Coskun, H., Wahle, S., and Magedanz, T. (2013). Design aspects for a reference m2m communication platform for smart cities. In Innovations in Information Technology (IIT), 2013 9th International Conference on, pages 204–209.

Ester, M., Kriegel, H.-P., Sander, J., and Xu, X. (1996a). A densitybased algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD’96, pages 226–231. AAAI Press.

Ester, M., Kriegel, H.-P., Sander, J., Xu, X., et al. (1996b). A density-based algorithm for discovering clusters in large spatial databases with noise. In Kdd, volume 96, pages 226–231.

Facebook (2017). Company info.

FIPPA Legislative Review. [link], Acessado em: 09.05.2017.

Foell, S., Kortuem, G., Rawassizadeh, R., Handte, M., Iqbal, U., and Marrón, P. (2014). Micro-navigation for urban bus passengers: Using the internet of things to improve the public transport experience. In Proceedings of the First International Conference on IoT in Urban Space, URB-IOT ’14, pages 1–6, ICST, Brussels, Belgium, Belgium. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

Fontana, A. and Naldi, M. C. (2009). Estudo e comparação de métodos para estimação de números de grupos em problemas de agrupamento de dados. ICMC.

Fortes, M., Ferreira, V., Sotelo, G., Cabral, A., Correia, W., and Pacheco, O. (2014). Deployment of smart metering in the búzios city. In Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA), 2014 IEEE PES, pages 1–6. IEEE.

Fox, A., Patterson, D. A., and Joseph, S. (2013). Engineering software as a service: An Agile approach using Cloud Computing. Strawberry Canyon LLC.

Fox, A., Patterson, D. A., and Joseph, S. (2015). Construindo Software como Serviço: Uma Abordagem Ágil Usando Computação em Nuvem. Strawberry Canyon LLC.

Franke, T., Lukowicz, P., and Blanke, U. (2015). Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform. Journal of Internet Services and Applications, 6(1):1–19.

Fung, B. C. M., Wang, K., and Yu, P. S. (2005). Top-down specialization for information and privacy preservation. In Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pages 205–216.

Fung, B. C. M., Wang, K., Chen, R., and Yu, P. S. (2010b). Privacy-preserving data publishing: A survey of recent developments. ACM Computer Survey.

Fung, B. C.,Wang, K., Fu, A.W.-C., and Yu, P. S. (2010a). Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques. Chapman & Hall/CRC, 1st edition. ISBN 978-1-4200-9148-9.

G. Berseth, M. Kapadia, and P. Faloutsos, “Robust space-time footsteps for agentbased steering,” Computer Animation and Virtual Worlds, 2015.

G. K. Still, “Crowd dynamics,” Ph.D. dissertation, University ofWarwick, Coventry, UK, 2000.

G. LeBon, Psychologie des Foules. Paris: Alcan, 1895.

Galache, J. A., Yonezawa, T., Gurgen, L., Pavia, D., Grella, M., and Maeomichi, H. (2014). Clout: Leveraging cloud computing techniques for improving management of massive iot data. In Service-Oriented Computing and Applications (SOCA), 2014 IEEE 7th International Conference on, pages 324–327.

Gaspar, D. and Porto, F. (2014). A multi-dimensional equidepth partitioning strategy for astronomy catalog data.

Gavison, R. (1980). Privacy and the limits of law. The Yale Law Journal, 89(3):421–471.

Ghemawat, S., Gobioff, H., and Leung, S.-T. (2003). The google file system. In Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles, SOSP ’03, pages 29–43, New York, NY, USA. ACM.

Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., and Meijers, E. (2007). Smart cities-ranking of european medium-sized cities. Technical report, Vienna University of Technology.

Girtelschmid, S., Steinbauer, M., Kumar, V., Fensel, A., and Kotsis, G. (2013). Big data in large scale intelligent smart city installations. In Proceedings of International Conference on Information Integration and Web-based Applications and Services, IIWAS ’13, pages 428:428–428:432, New York, NY, USA. ACM.

Goldman, A., Kon, F., Junior, F. P., Polato, I., and de Fátima Pereira, R. (2012). Apache hadoop: conceitos teóricos e práticos, evolução e novas possibilidades. XXXI Jornadas de atualizaçoes em informatica.

Gonzalez, J., Low, Y., Gu, H., Bickson, D., and Guestrin, C. (2012). Powergraph: Distributed graph-parallel computation on natural graphs. In Proc. USENIX Symp. on Operating Systems Design and Implementation (OSDI), pages 17–30.

Guan, L. (2012). Smart steps to a battery city. Government News, 32(2):24–27.

Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M. (2013). Internet of things (iot): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7):1645–1660.

Guo, B.,Wang, Z., Yu, Z., Wang, Y., Yen, N. Y., Huang, R., and Zhou, X. (2015). Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm. ACM Comput. Surv., 48(1):7:1–7:31.

Guo, Y., Biczak, M., Varbanescu, A., Iosup, A., Martella, C., and Willke, T. (2014). How well do graph-processing platforms perform? an empirical performance evaluation and analysis. In Proc. IEEE Int. Parallel and Distributed Processing Symp. (IPDS), pages 395–404.

Gurgen, L., Gunalp, O., Benazzouz, Y., and Gallissot, M. (2013). Self-aware cyberphysical systems and applications in smart buildings and cities. In Design, Automation Test in Europe Conference Exhibition (DATE), 2013, pages 1149–1154.

H. Mu, J. Wang, Z. Mao, J. Sun, S. Lo, and Q. Wang, “Pre-evacuation human reactions in fires: An attribution analysis considering psychological process,” Procedia Engineering, vol. 52, pp. 290 – 296, 2013, 2012 International Conference on Performance-based Fire and Fire Protection Engineering. [Online]. Available: [link]

H. W. Hamacher and S. A. Tjandra, “Mathematical Modelling of Evacuation Problems – A State of the Art,” in Pedestrian and Evacuation Dynamics, M. Schreckenberg and S. D. Sharma, Eds. Berlin: Springer, 2002, pp. 227–266.

Hall, P. et al. (2000). Creative cities and economic development. Urban studies, 37(4):639–649.

Hancke, G. P., Hancke Jr., G. P., et al. (2012). The role of advanced sensing in smart cities. Sensors, 13(1):393–425.

Handte, M., Iqbal, M. U., Wagner, S., Apolinarski, W., Marrón, P. J., Navarro, E. M. M., Martinez, S., Barthelemy, S. I., and Fernández, M. G. (2014). Crowd density estimation for public transport vehicles. In EDBT/ICDT Workshops, pages 315–322.

Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., and Williams, P. (2010). Foundations for smarter cities. IBM Journal of Research and Development, 54(4):1–16.

He, Y. and Naughton, J. F. (2009). Anonymization of set-valued data via top-down, local generalization. Proceedings of the VLDB Endowment, 2(1):934–945.

Hernández-Muñoz, J. M., Vercher, J. B., Muñoz, L., Galache, J. A., Presser, M., Hernández Gómez, L. A., and Pettersson, J. (2011). Smart cities at the forefront of the future internet. volume 6656, pages 447–462.

HIPAA for Individuals. [link], Acessado em: 09.05.2017.

Hussain, A., Wenbi, R., da Silva, A. L., Nadher, M., and Mudhish, M. (2015). Health and emergency-care platform for the elderly and disabled people in the smart city. Journal of Systems and Software, 110:253 – 263.

Issarny, V., Georgantas, N., Hachem, S., Zarras, A., Vassiliadist, P., Autili, M., Gerosa, M. A., and Hamida, A. (2011). Service-oriented middleware for the future internet: state of the art and research directions. Journal of Internet Services and Applications, 2(1):23–45.

Iyengar, V. S. (2002). Transforming data to satisfy privacy constraints. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pages 279–288.

J. Fruin, Pedestrian Planning and Design. Metropolitan Association of Urban Designers and Environmental Planners, 1971.

Jamison-Powell, S., Briggs, P., Lawson, S., Linehan, C., Windle, K., & Gross, H. (2016). PS. I Love You: Understanding the Impact of Posthumous Digital Messages. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 2920-2932). ACM.

Janajreh, I., Su, L., and Alan, F. (2013). Wind energy assessment: Masdar city case study. Renewable energy, 52:8–15.

Japiassú, H. e Marcondes, D. (1996) Dicionário básico de filosofia. Rio de Janeiro, Jorge Zahar Editor.

Jr., R. J. B. and Agrawal, R. (2005). Data privacy through optimal k-anonymization. In Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pages 217–228.

Khan, Z., Anjum, A., and Kiani, S. L. (2013). Cloud based big data analytics for smart future cities. In Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on, pages 381–386.

Khan, Z., Anjum, A., Soomro, K., and Tahir, M. A. (2015). Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing, 4(1):1–11.

Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. Sage.

Kshetri, N., Alcantara, L. L., and Park, Y. (2014). Development of a smart city and its adoption and acceptance: the case of new songdo. Communications & Strategies, (96):113.

L. B. Zomer, W. Daamen, S. Meijer, and S. P. Hoogendoorn, “Managing crowds: The possibilities and limitations of crowd information during urban mass events,” Planning Support Systems and Smart Cities. Part of the series Lecture Notes in Geoinformation and Cartography, pp. 77–97, 2015. [Online]. Available: [link]

L. C. Osorio, Psicologia Grupal: Uma nova disciplina para o advento de uma era. Porto Alegre: Artmed, 2003.

L. E. Aik and T.W. Choon, “Simulating evacuations with obstacles using a modified dynamic cellular automata mode,” Journal of Applied Mathematics, vol. 2012, 2012.

L. Fu, W. Song, W. Lv, and S. Lo, “Simulation of exit selection behavior using least effort algorithm,” Transportation Research Procedia, vol. 2, no. 0, pp. 533 – 540, 2014, the Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014), 22-24 October 2014, Delft, The Netherlands. [Online]. Available: [link]

L. Ji, Y. Qian, J. Zeng, M. Wang, D. Xu, Y. Yan, and S. Feng, “Simulation of evacuation characteristics using a 2-dimensional cellular automata model for pedestrian dynamics,” Journal of Applied Mathematics, 2013.

Larose, D. T. (2014). Discovering knowledge in data: an introduction to data mining. John Wiley & Sons.

Laurant, C. (2003). Privacy and Human Rights 2003: an International Survey of Privacy Laws and Developments. In Electronic Privacy Information Center.

Lazar, J., Feng, J. H., e Hochheiser, H. (2010). Research methods in human-computer interaction. John Wiley& Sons.

Le-Phuoc, D., Nguyen-Mau, H. Q., Parreira, J. X., and Hauswirth, M. (2012). A middleware framework for scalable management of linked streams. Web Semantics: Science, Services and Agents on the World Wide Web, 16:42–51.

Lee, J. and Clifton, C. (2011). How Much Is Enough? Choosing e for Differential Privacy, pages 325–340. Springer Berlin Heidelberg.

Lee, Y. W. and Rho, S. (2010). U-city portal for smart ubiquitous middleware. In Advanced Communication Technology (ICACT), 2010 The 12th International Conference on, volume 1, pages 609–613.

LeFevre, K., DeWitt, D. J., and Ramakrishnan, R. (2005). Incognito: Efficient fulldomain k-anonymity. In Proceedings of the ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA, June 14-16, 2005, pages 49–60.

LeFevre, K., DeWitt, D. J., and Ramakrishnan, R. (2006). Mondrian multidimensional k-anonymity. In Proceedings of the 22nd International Conference on Data Engineering, ICDE 2006, 3-8 April 2006, Atlanta, GA, USA, page 25.

Leitão, C. (2009). Métodos Qualitativos de Pesquisa Científica. Computação Brasil: Interação Humano-Computador no Brasil, p. 22-23.

Leitão, C. F., Silveira, M. S., & de Souza, C. S. (2013). Uma introdução à engenharia semiótica: conceitos e métodos. In Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems (pp. 356-358). Brazilian Computer Society.

Leite, L., Moreira, C. E., Cordeiro, D., Gerosa, M. A., and Kon, F. (2014). Deploying large-scale service compositions on the cloud with the choreos enactment engine. In 13th IEEE International Symposium on Network Computing and Applications (NCA), pages 121–128. IEEE.

Li, N., Li, T., and Venkatasubramanian, S. (2007). t-closeness: Privacy beyond k-anonymity and l-diversity. In 23th ICDE International Conference on Data Engineering (ICDE), pages 106–115.

Liao, T.W. (2005). Clustering of time series data—a survey. Pattern recognition, 38(11):1857–1874.

Liu, P. and Peng, Z. (2013). Smart cities in china. IEEE Computer Society, 16.

Lovász, L. et al. (2009). Very large graphs. Current Developments in Math., 2008:67–128.

Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger, E., Jones, M., Lee, E. A., Tao, J., and Zhao, Y. (2006). Scientific workflow management and the kepler system: Research articles. Concurr. Comput. : Pract. Exper., 18(10):1039–1065.

M. Kapadia, N. Pelechano, J. Allbeck, and N. Badler, Virtual Crowds: Steps Toward Behavioral Realism. Morgan & Claypool Publishers, 2015.

M. L. Chu, P. Parigi, K. Law, and J.-C. Latombe, “Modeling social behaviors in an evacuation simulator,” Computer Animation and Virtual Worlds, vol. 25, no. 3-4, pp. 373–382, 2014. [Online]. Available: DOI: 10.1002/cav.1595

Machanavajjhala, A., Kifer, D., Gehrke, J., and Venkitasubramaniam, M. (2007). ldiversity: Privacy beyond k-anonymity. In ACM Transactions on Knowledge Discovery from Data (TKDD).

Mack, R. L., e Nielsen, J. (Eds.). (1994). Usability inspection methods (pp. 1-414). New York, NY: Wiley & Sons.

MacQueen, J. B. (1967). Some Methods for Classification and Analysis of MultiVariate Observations. In Cam, L. M. L. and Neyman, J., editors, Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281–297. University of California Press.

Mankoff, J.; Dey, A. K., Hsieh, G., Kientz, J., Lederer, S., & Ames, M. (2003). Heuristic evaluation of ambient displays. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 169-176). ACM.

Manville, C., Cochrane, G., Cave, J., Millard, J., Pederson, J. K., Thaarup, R. K., Liebe, A., Wissner, M., Massink, R., and Kotterink, B. (2014). Mapping smart cities in the eu.

March, H. and Ribera-Fumaz, R. (2016). Smart contradictions: The politics of making barcelona a self-sufficient city. European Urban and Regional Studies, 23(4):816–830.

Matteucci, M. (2013). A Tutorial on Clustering Algorithms.

McSherry, F. (2010). Privacy integrated queries: an extensible platform for privacypreserving data analysis. Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, 53(9):89–97.

Meyerson, A. and Williams, R. (2004). On the complexity of optimal k-anonymity. In Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Paris, France, pages 223–228.

Mir, D. J., Isaacman, S., Cáceres, R., Martonosi, M., and Wright, R. N. (2013). DP-WHERE: differentially private modeling of human mobility. In Proceedings of the 2013 IEEE International Conference on Big Data, 2013, Santa Clara, CA, USA, pages 580–588.

Mirzanurov, D., Nawaz, W., Lee, J., and Qu, Q. (2016). An effective cluster assignment strategy for large time series data. In International Conference on Web-Age Information Management, pages 330–341. Springer.

Mitton, N., Papavassiliou, S., Puliafito, A., and Trivedi, K. (2012). Combining cloud and sensors in a smart city environment. EURASIP Journal on Wireless Communications and Networking, 2012(1).

Moore, G. E. (2000). Readings in computer architecture. chapter Cramming More Components Onto Integrated Circuits, pages 56–59. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.

Most americans unwilling to give up privacy to thwart attacks (2017). Heuters, [link], Acessado em: 05.04.2017.

Muja, M. and Lowe, D. (2014). Scalable nearest neighbor algorithms for high dimensional data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(11):107–113.

Muller, M. J. (2003). Participatory design: the third space in HCI. Human-computer interaction: Development process, 4235, 165-185.

Mylonas, G., Theodoridis, E., and Munoz, L. (2015). Integrating smartphones into the smartsantander infrastructure. Internet Computing, IEEE, 19(2):48–56.

N. Pelechano and A. Malkawi, “Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches,” Automation in Construction, vol. 17, no. 4, pp. 377 – 385, 2008. [Online]. Available: [link]

N. Pelechano and N. I. Badler, “Modeling crowd and trained leader behavior during building evacuation,” IEEE Computer Graphics and Applications, vol. 26, no. 6, pp. 80–86, Nov 2006.

N. Pelechano, J. Allbeck, and N. Badler, Virtual Crowds: Methods, Simulation, and Control (Synthesis Lectures on Computer Graphics and Animation). Morgan and Claypool Publishers, 2008.

N. Pelechano, K. O’Brien, B. Silverman, and N. Badler, “Crowd simulation incorporating agent psychological models, roles and communication,” DTIC Document, Tech. Rep., 2005.

N. T. N. Anh, Z. J. Daniel, N. H. Du, A. Drogoul, and V. D. An, “A hybrid macro-micro pedestrians evacuation model to speed up simulation in road networks,” in Proceedings of the 10th International Conference on Advanced Agent Technology, ser. AAMAS’11. Berlin, Heidelberg: Springer-Verlag, 2012, pp. 371–383. [Online]. Available: DOI: 10.1007/978-3-642-27216-5_28

N. ZHU, J. WANG, and J. SHI, “Application of pedestrian simulation in olympic games,” Journal of Transportation Systems Engineering and Information Technology, vol. 8, no. 6, pp. 85 – 90, 2008. [Online]. Available: [link]

Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., and Morris, R. (2011). Smarter cities and their innovation challenges. Computer, 44(6):32–39.

Nature (2008). Big data welcome to the petacentre. Nature, 455.

Nergiz, M. E., Atzori, M., and Clifton, C. (2007). Hiding the presence of individuals from shared databases. In Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, SIGMOD ’07, pages 665–676, New York, NY, USA. ACM.

NFPA 101 Life Safety Code. Quincy, MA: National Fire Protection Association, 2015.

Nguyen, H. H., Kim, J., and Kim, Y. (2013). Differential privacy in practice. Journal of Computing Science and Engineering, 7(3):177–186.

Nicolaci-da-Costa, A. M.; Leitão, C. F.; Dias, D. R. (2004) Como conhecer usuários através do Método de Explicitação do Discurso Subjacente (MEDS). In VI Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais, IHC, 47-56.

Nielsen, J. (1994). Heuristic evaluation. In Nielsen, J., and Mack, R.L. (Eds.), Usability Inspection Methods. John Wiley& Sons, New York, NY.

Nielsen, J. (1995a) "How to conduct a heuristic evaluation." Disponível em: [link] (Última visita em abril, 2017).

Nielsen, J. (1995b) "10 Usability Heuristics for User Interface Design." Disponível em: [link] (Última visita em abril, 2017).

Nitti, M., Pilloni, V., Giusto, D., and Popescu, V. (2017). Iot architecture for a sustainable tourism application in a smart city environment. Mobile Information Systems, 2017.

Norman, D. A. (1986). Cognitive engineering. User centered system design: New perspectives on human-computer interaction, 3161.

Norval, C., Arnott, J. L., & Hanson, V. L. (2014). What's on your mind?: investigating recommendations for inclusive social networking and older adults. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3923-3932). ACM.

Ochi, L. S., Dias, C. R., and Soares, S. S. F. (2004). Clusterização em Mineração de Dados.

Ogasawara, E., Dias, J., Silva, V., Chirigati, F., de Oliveira, D., Porto, F., Valduriez, P., and Mattoso, M. (2013). Chiron: a parallel engine for algebraic scientific workflows. Concurrency and Computation: Practice and Experience, 25(16):2327–2341.

Oliveira, D., Boeres, C., Fausti, A., and Porto, F. (2015). Avaliação da localidade de dados intermediários na execução paralela de workflows bigdata. In XXX Simpósio Brasileiro de Banco de Dados, SBBD 2015, Petrópolis, Rio de Janeiro, Brasil, October 13-16, 2015., pages 29–40.

Ozsu, T. and Valduriez, P. (1990). Principles of Distributed Databases. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.

P. E. Hart, N. J. Nilsson, and B. Raphael, “A formal basis for the heuristic determination of minimum cost paths,” SIGART Bull., no. 37, pp. 28–29, 1972.

Palen, L., and Salzman, M.. "Voice-mail diary studies for naturalistic data capture under mobile conditions." In Proceedings of the 2002 ACM conference on Computer supported cooperative work. ACM, 2002.

Papa, R., Gargiulo, C., and Galderisi, A. (2013). Towards an urban planners’ perspective on smart city. TeMA Journal of Land Use, Mobility and Environment, 6(01):5–17.

Parkavi, A. and Vetrivelan, N. (2013). A smart citizen information system using hadoop: A case study. In Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on, pages 1–3.

Peirce, C. (1992–1998). The essential Peirce (Vols. 1 & 2). In N. Houser e C. Kloesel (eds.) The Peirce Edition Project. Bloomington: Indiana University Press.

Pereira, R. L., Sousa, P. C., Barata, R., Oliveira, A., and Monsieur, G. (2015). Citysdk tourism api-building value around open data. Journal of Internet Services and Applications, 6(1):1–13.

Perera, C., Zaslavsky, A. B., Christen, P., and Georgakopoulos, D. (2014). Sensing as a service model for smart cities supported by internet of things. Trans. Emerging Telecommunications Technologies, 25(1):81–93.

Pérez-González, D. and Díaz-Díaz, R. (2015). Public services provided with ict in the smart city environment: The case of spanish cities. Journal of Universal Computer Science, 21(2):248–267.

Petrolo, R., Loscri, V., and Mitton, N. (2014). Towards a Cloud of Things Smart City. IEEE COMSOC MMTC E-Letter, 9(5):44–48.

Petroni, F., Querzoni, L., Daudjee, K., Kamali, S., and Iacoboni, G. (2015). Hdrf: Stream-based partitioning for power-law graphs. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM ’15, pages 243–252, New York, NY, USA. ACM.

Pinelle, D., Wong, N., and Stach, T. (2008). Heuristic evaluation for games: usability principles for video game design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1453-1462). ACM.

Pires, V. (2016). NACLUSTER: Resolvendo Entidades em Larga Escala a partir de Multiplos Catalogos da Astronomia. PhD thesis, Universidade Federal do Ceará.

Piro, G., Cianci, I., Grieco, L. A., Boggia, G., and Camarda, P. (2014). Information centric services in smart cities. Journal of Systems and Software, 88(0):169 – 188.

Polato, I., Ré, R., Goldman, A., and Kon, F. (2014). A comprehensive view of hadoop research—a systematic literature review. Journal of Network and Computer Applications, 46:1–25.

Polson, P. G., Lewis, C., Rieman, J., & Wharton, C. (1992). Cognitive walkthroughs: a method for theory-based evaluation of user interfaces. International Journal of manmachine studies, 36(5), 741-773.

Porto, F., Khatibi, A., Nobre, J. R., Ogasawara, E., Valduriez, P., and Shasha, D. (2017). Constellation Queries over Big Data. ArXiv e-prints.

Prates, R. O., de Souza, C. S., & Barbosa, S. D. (2000). Methods and tools: a method for evaluating the communicability of user interfaces. interactions, 7(1), 31-38.

Prates, R. O., e Barbosa, S. D. J. (2007). Introdução à teoria e prática da interação humano computador fundamentada na engenharia semiótica. Atualizações em informática, 263-326.

Preece, J., Sharp, H., e Rogers, Y. (2015). Interaction Design: Beyond Human-Computer Interaction, 486. John Wiley and Sons.

Privat, G., Zhao, M., and Lemke, L. (2014). Towards a shared software infrastructure for smart homes, smart buildings and smart cities. In International Workshop on Emerging Trends in the Engineering of Cyber-Physical Systems, Berlin.

Randall, D. e Rouncefield, M. (2013) Ethnography. In: Soegaard, Mads and Dam, Rikke Friis. (Org.). Encyclopedia of Human-Computer Interaction. 2ed. Aarhus: Interaction Design Foundation.

Reddy, M., Dourish, P., and Pratt, W. (2006). Temporality in Medical Work: Time also matters. Computer-Supported Cooperative Work, 15(1), 29-53.

Reis, D. S., & Prates, R. O. (2011, October). Applicability of the semiotic inspection method: a systematic literature review. In Proceedings of the 10th Brazilian Symposium on Human Factors in Computing Systems and the 5th Latin American Conference on Human-Computer Interaction (pp. 177-186). Brazilian Computer Society.

S. Freud, Group psychology and the analysis of the ego. New York: New York, Boni and Liveright, 1922.

S. Patil, J. Van Den Berg, S. Curtis, M. Lin, and D. Manocha, “Directing crowd simulations using navigation fields,” IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 2, pp. 244–254, 2011.

S. Sighele, A multidão Criminosa - Ensaio de Psicologia Coletiva. Tradução Adolfo Lima., 1954.

Samet, H. (2011). The Design and Analysis of Spatial Data Structures. Springer New York.

Sanchez, L., Muñoz, L., Galache, J. A., Sotres, P., Santana, J. R., Gutierrez, V., Ramdhany, R., Gluhak, A., Krco, S., Theodoridis, E., et al. (2014). Smartsantander: Iot experimentation over a smart city testbed. Computer Networks, 61:217–238.

Santos, R. L., e Prates, R. O. (2010). Estratégias para comunicar qualidade na Wikipedia. In Proceedings of the IX Symposium on Human Factors in Computing Systems (pp. 71-80). Brazilian Computer Society.

SDSS. Sloan digital sky survey.

Seidman, I. (1998) Interviewing as Qualitative Research: a guide for researchers in education and social sciences. New York, Teachers College Press, 1998.

Sharp, H., Dittrich, Y., & de Souza, C. R. (2016). The role of ethnographic studies in empirical software engineering. IEEE Transactions on Software Engineering, 42(8), 786-804.

Shlens, J. (2003). A tutorial on principal component analysis: derivation, discussion and singular value decomposition.

Shumway, R. H. and Stoffer, D. S. (2010). Time series analysis and its applications: with R examples. Springer Science & Business Media.

SilpaAnan and C., Hartley, R. (2008). Optimised kd-trees for fast image descriptor matching. In 26th IEEE Conference on Computer Vision and Pattern Recognition.

Solove, D. J. (2008). Understanding Privacy. Harvard University Press.

Sommerville, I. (2011) Engenharia de software. São Paulo, SP, Pearson Prentice Hall, 9a Edição.

Stephenson, M., Di Lorenzo, G., and Aonghusa, P. M. (2012). Open innovation portal: A collaborative platform for open city data sharing. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on, pages 522–524. IEEE.

Sundmaeker, H., Guillemin, P., Friess, P., and Woelfflé, S. (2010). Vision and challenges for realising the internet of things.

Sweeney, L. (2002a). Achieving k-anonymity privacy protection using generalization and suppression. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(5):571–588.

Sweeney, L. (2002b). k-anonymity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, pages 557–570.

Takahashi, K., Yamamoto, S., Okushi, A., Matsumoto, S., and Nakamura, M. (2012). Design and implementation of service api for large-scale house log in smart city cloud. In Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on, pages 815–820.

Tan, V. Y. F. and Ng, S. (2007). Generic probability density function reconstruction for randomization in privacy-preserving data mining. In Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings, pages 76–90.

Tei, K. and Gurgen, L. (2014). Clout: Cloud of things for empowering the citizen clout in smart cities. In Internet of Things (WF-IoT), 2014 IEEE World Forum on, pages 369–370. IEEE.

Thornton, S. (2013). Chicago’s windygrid: Taking situational awareness to a new level. United Nations (2009). Urban and rural areas 2009.

Thousands of personal details exposed in latest uk data breach blunders (2014). Infosecurity Magazine, [link], Acessado em: 03.04.2017.

U.S. Department of Labor , “How to plan for workplace emergencies and evacuations,” online: [link], The address of the publisher, 2001.

V. Cassol, C. M. Dal Bianco, A. Carvalho, J. Brasil, M. Monteiro, and S. R. Musse, “An experience-based approach to simulate virtual crowd behaviors under the influence of alcohol,” in IVA’15: Proceedings of the 15th International Conference on Intelligent Virtual Agents. Berlin, Heidelberg: Springer-Verlag, 2015.

V. J. Cassol, R. A. Rodrigues, L. C. C. Carneiro, A. Silva, and S. R. Musse, “Crowdsim: Uma ferramenta desenvolvida para simulação de multidões,” in I Workshop de Simulação Militar - SBGames2012, 2012.

Vakali, A., Anthopoulos, L., and Krco, S. (2014). Smart cities data streams integration: Experimenting with internet of things and social data flows. In Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), WIMS ’14, pages 60:1–60:5, New York, NY, USA. ACM.

Van der Meer, T. G., Gelders, D., and Rotthier, S. (2014). E-democracy: exploring the current stage of e-government. Journal of Information Policy, 4:489–506.

Venkataramanan, N. and Shriram, A. (2016). Data Privacy: Principles and Practice. Chapman and Hall/CRC. ISBN 978-1-4987-2104-2.

Verma, S., Leslie, L. M., Shin, Y., and Gupta, I. (2017). An experimental comparison of partitioning strategies in distributed graph processing. Proc. VLDB Endow., 10(5):493–504.

Villanueva, F. J., Santofimia, M. J., Villa, D., Barba, J., and Lopez, J. C. (2013). Civitas: The smart city middleware, from sensors to big data. In Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on, pages 445–450.

Vlahogianni, E. I., Kepaptsoglou, K., Tsetsos, V., and Karlaftis, M. G. (2014). Exploiting new sensor technologies for real-time parking prediction in urban areas. In Transportation Research Board 93rd Annual Meeting Compendium of Papers, pages 14–1673.

W. Mc Dougall, The Group Mind (1920). La Vergne, US: Lightning Source, 2009.

Wan, J., Li, D., Zou, C., and Zhou, K. (2012). M2m communications for smart city: An event-based architecture. In Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on, pages 895–900.

Wang, K. and Fung, B. C. M. (2006). Anonymizing sequential releases. In Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pages 414–423.

Wang, K., Fung, B. C. M., and Yu, P. S. (2005). Template-based privacy preservation in classification problems. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pages 466–473.

Washburn, D., Sindhu, U., Balaouras, S., Dines, R., Hayes, N., and Nelson, L. (2009). Helping cios understand “smart city” initiatives. Growth, 17:2.

Weiss, R.S. (1995) Learning from Strangers: the art and method of qualitative interview studies. New York, The Free Press.

Wenge, R., Zhang, X., Cooper, D., Chao, L., and Hao, S. (2014). Smart city architecture: A technology guide for implementation and design challenges. Communications, China, 11(3):56–69.

Wharton, C., Rieman, J., Lewis, C., & Polson, P. (1994). The cognitive walkthrough method: A practitioner's guide. In Usability inspection methods (pp. 105-140). John Wiley & Sons, Inc..

Willison, D., Emerson, C., Szala-Meneok., K., Gibson, E., Schwartz, L., and Weisbaum, K. (2008). Access to medical records for research purposes: Varying perceptions across research ethics boards. Journal of Medical Ethics 34, pages 308–314.

Wisniewski, P., Xu, H., Rosson, M. B., Perkins, D. F. and Carroll, J. M. 2016. Dear Diary: Teens Reflect on Their Weekly Online Risk Experiences. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 3919-3930. DOI: 10.1145/2858036.2858317

Wolff, A., Kortuem, G., and Cavero, J. (2015). Towards smart city education. In 2015 Sustainable Internet and ICT for Sustainability (SustainIT), pages 1–3.

Wong, R. C. and Fu, A. W. (2010). Privacy-Preserving Data Publishing: An Overview. Synthesis Lectures on Data Management. Morgan & Claypool Publishers.

Wong, R. C., Li, J., Fu, A. W., and Wang, K. (2006). (alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. In Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA.

Wright, P. C., e Monk, A. F. (1991). The use of think-aloud evaluation methods in design. ACM SIGCHI Bulletin, 23(1), 55-57.

Wu, C., Birch, D., Silva, D., Lee, C.-H., Tsinalis, O., and Guo, Y. (2014). Concinnity: A generic platform for big sensor data applications. Cloud Computing, IEEE, 1(2):42–50.

X. Wei, M. Xiong, X. Zhang, and D. Chen, “A hybrid simulation of large crowd evacuation,” in Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on, Dec 2011, pp. 971–975.

Xiao, X. and Tao, Y. (2006). Personalized privacy preservation. In Proceedings of the ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, USA, June 27-29, 2006, pages 229–240.

Yamamoto, S., Matsumoto, S., Saiki, S., and Nakamura, M. (2014). Using materialized view as a service of scallop4sc for smart city application services. In Soft Computing in Big Data Processing, pages 51–60. Springer.

Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., and David, B. (2015). A literature survey on smart cities. Science China Information Sciences, pages 1–18.

Yin, R.K. (2009) Case Study Research, Design and Methods. Newbury Park, Sage Publications, 4thEdition.

Zaharia, M., Chowdhury, M., Franklin, M. J., Shenker, S., and Stoica, I. (2010). Spark: Cluster computing with working sets. In Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, HotCloud’10, pages 10–10, Berkeley, CA, USA. USENIX Association.

Zaharia, M., Chowdhury, M., Franklin, M. J., Shenker, S., and Stoica, I. (2010). Spark: cluster computing with working sets. In Proceedings of the 2nd USENIX conference on Hot topics in cloud computing, volume 10, page 10.

Zanella, A., Bui, N., Castellani, A., Vangelista, L., and Zorzi, M. (2014). Internet of things for smart cities. Internet of Things Journal, IEEE, 1(1):22–32.

Zäschke, T., Zimmerli, C., and Norrie, M. C. (2014). The ph-tree: A space-efficient storage structure and multi-dimensional index. In Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD ’14, pages 397–408, New York, NY, USA. ACM.