References

Behavior Informatics
Behavior Computing

Behavior Computing

Modeling, Analysis, Mining and Decision

Cao, Longbing; Yu, Philip S. (Eds.)

2012, 2012, XVI, 374 p. 122 illus.

Table of contents

Preface

Sample Chapter

Introduction to BI

 

Some references on introduction to Behavior Informatics:

Fundamentals

  • Principles of Model Checking

Modeling & Representation

[1] Damas, C.; Lambeau, B.; Dupont, P.; van Lamsweerde, A., 2005, Generating annotated behavior models from end-user scenarios, IEEE Transactions on Software Engineering, IEEE, Volume 31, Issue 12, Dec. 2005 Page(s):1056 – 10

[2] Thang, N.T.; Katayama, T., 2003, Dynamic Behavior and Protocol Models for Incremental Changes among a Set of Collaborative Objects, Proceedings. Sixth International Workshop on Principles of Software Evolution, IEEE, 45 – 50

[3] Anders Green, 2007, Characterising Dimensions of Use for Designing Adaptive Dialogues for Human-Robot Communication, The 16th IEEE International Symposium on Robot and Human interactive Communication, IEEE, 1078 – 1083

[4] Hudlicka, E.; Zacharias, G., 2004, Approaches for modeling individuals within organizational simulations, Simulation Conference, 2004. Proceedings of the 2004 Winter, IEEE, Volume 1, Pages: 903-911

[5] A. Georgakis, H. Li, 2006, User behavior modeling and content based speculative web page prefetching, Data & Knowledge Engineering, Elsevier Science, Volume 59, Issue 3,Pages 770-788

[6] Ricardo Aler, Jose M. Valls, David Camacho, Alberto Lopez, 2007, Programming Robosoccer agents by modeling human behavior, Expert Systems with Applications, Elsevier Science

[7] E. Frias-Martinez, G. Magoulas, S. Chen, R. Macredie, 2005, Modeling human behavior in user-adaptive systems- Recent advances using soft computing techniques, Expert Systems with Applications, Elsevier Science, Volume 29, Issue 2, Pages 320-329

[8] You-Jin Park, Kun-Nyeong Chang, 2007, Individual and group behavior-based customer profile model for personalized product recommendation, Expert Systems with Applications, Elsevier Science

[9] Manavoglu, E. Pavlov, D. Giles, C.L., 2003, Probabilistic user behavior models, ICDM 2003., IEEE, 203- 210

[10] Seungho Lee, Young-Jun Son, Judy Jin, 2008, Decision field theory extensions for behavior modeling in dynamic environment using Bayesian belief , Information Sciences, Volume 178, Issue 10, Pages 2297-2314

[11] Irene S.Y. Kwan, Joseph Fong, H.K. Wong, 2005, An e-customer behavior model with online analytical mining for internet marketing planning, Decision Support Systems, Elsevier Science, Volume 41, Issue 1, Pages 189-204

[12] An anticipation model of potential customers’ purchasing behavior based on clustering analysis and, 2007, An anticipation model of potential customers’ purchasing behavior based on clustering analysis and, Expert Systems with Applications,, Elsevier Science, Volume 32, Issue 3, Pages 753-764

[13] Mamata Jenamania, Pratap K.J. Mohapatraa, Sujoy Ghoseb, 2003, A stochastic model of e-customer behavior, Electronic Commerce Research and Applications, Elsevier Science, Volume 2, Issue 1, Pages 81-94

[14] Victor S. Y. Lo, 2002, The true lift model- a novel data mining approach to response modeling in database marketing, ACM SIGKDD Explorations Newsletter, ACM, Volume 4 Issue 2: 78-86

[15] Eugene Agichtein, Eric Brill, Susan Dumais, Robert Ragno, 2006, Learning user interaction models for predicting web search result preferences, SIGIR ’06, ACM, 3-10

[16] Mary Stoddard, Kathy Berkbigler, Bob Wheat, Eva Peter, 1985, User behavior upon introduction of a network help system, ACM SIGCHI Bulletin, ACM, Volume 16 , Issue 3 :25-31

[17] Murray Turoff, Starr Roxanne Hiltz, 1978, User behavior patterns in the Electronic Information Exchange System, ACM ’78: Proceedings of the 1978 annual conference, Volume 2, 659-665

[18] Zdenek Velart, Petr Šaloun, 2006, User behavior patterns in the course of programming in C++, APS ’06: Proceedings of the joint international workshop on Adaptivity, personalization & the semantic web, ACM, 41-44

[19] Giovanni Resta, Paolo Santi, 2006, The QoS-RWP mobility and user behavior model for public area wireless networks, MSWiM ’06: Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems, ACM, 375-384

[20] Ting Li, Eric van Heck, Peter Vervest, Jasper Voskuilen, Freek Hofker, Fred Jansma, 2006, Passenger travel behavior model in railway network simulation, Proceedings of the 2006 Winter Simulation Conference, ACM, 1380-1387

[21] Ahmet Emir Dirik, Nasir Memon, Jean-Camille Birget, 2007, Modeling user choice in the PassPoints graphical password scheme, SOUPS ’07: Proceedings of the 3rd symposium on Usable privacy and security, ACM, 20-28

[22] Maeve O’Brien, Mark T. Keane, 2007, Modeling user behavior using a search-engine, IUI ’07: Proceedings of the 12th international conference on Intelligent user interfaces, ACM, 357-360

[23] Tomoharu Iwata, Kazumi Saito, Takeshi Yamada, 2007, Modeling user behavior in recommender systems based on maximum entropy, WWW ’07, ACM, 1281-1282

[24] Gerhard Zimmerman, 2007, Modeling and simulation of individual user behavior for building performance predictions, SCSC07, ACM, 913-920

[25] Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun, 2005, Modeling and predicting personal information dissemination behavior, KDD ’05, ACM, 479-488

[26] Eugene Agichtein, Eric Brill, Susan Dumais, Robert Ragno, 2006, Learning user interaction models for predicting web search result preferences, SIGIR ’06, ACM, 3-10

[27] Tad Hogg, Gabor Szabo, 2008, Diversity of online community activities, HT ’08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, ACM, 227-228

[28] Anand Balachandran, Geoffrey M. Voelker, Paramvir Bahl, P. Venkat Rangan, 2002, Characterizing user behavior and network performance in a public wireless LAN, ACM SIGMETRICS Performance Evaluation Review, ACM, Volume 30 Issue 1: 195 – 205

[29] Humberto T. Marques Nt., Leonardo C. D. Rocha, Pedro H. C. Guerra, Jussara M. Almeida, Wagner Meira , 2004, Characterizing broadband user behavior, NRBC’04, ACM, 11-18

[30] Michael Kwok, Gary Yeung, 2005, Characterization of user behavior in a multi-player online game, Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology, ACM, 69-74

[31] Sylvain Mongy, Fatma Bouali, Chabane Djeraba, 2005, Analyzing user’s behavior on a video database, KDD/MDM 2005, ACM, 95-100

[32] Eric S. Tollefson, Jeffrey B. Schamburg, Harold M. Yamauchi, 2006, A methodology for conducting composite behavior model verification in a combat simulation, Proceedings of the 2006 Winter Simulation Conference, ACM, 1286-1293

[33] Humberto T. Marques Neto, Leonardo C. D. Rocha, Pedro H. C. Guerra, 2004, A characterization of broadband user behavior and their e-business activities, SIGMETRICS Performance Evaluation Review[Journal], 32(3): 3-13

[34] Eugene Agichtein, Eric Brill, Susan Dumais, Robert Ragno, 2006, Learning User Interaction Models for Predicting Web Search Result Preferences, SIGIR ’06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, ACM

Analysis & Mining

[1] Baoyao Zhou; Siu Cheung Hui; Fong, A.C.M.;, 2005, Discovering and visualizing temporal-based Web access behavior, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE, 297 – 300

[2] Mei-Ling Shyu, 2005, Collaborative Filtering by Mining Association Rules from User Access Sequences, Proceedings of the 2005 International Workshop on Challenges in Web Information Retrieval and Integration, IEEE, 128 – 135

[3] John Carlo Bertot, Charles R. McClure, William E. Moen, Jeffrey Rubin, 1997, Web usage statistics: Measurement issues and analytical techniques, Government Information Quarterly, Elsevier Science, Volume 14, Issue 4, Pages 373-395

[4] Éric Germain, Pierre N. Robillard, 2008, Towards software process patterns: An empirical analysis of the behavior of student teams, Journal of Systems and Software, Elsevier Science

[5] Robert Colvin, Lars Grunske, Kirsten Winter, 2008, Timed Behavior Trees for Failure Mode and Effects Analysis of time-critical systems, Journal of Systems and Software, Elsevier Science

[6] Anita L. Ondrusek, 2004, The attributes of research on end-user online searching behavior-A retrospective review and analysis, Library & Information Science Research, Elsevier Science, Volume 26, Issue 2, Pages 221-265

[7] Sebastian Lühr, Geoff West, Svetha Venkatesh, 2007, Recognition of emergent human behaviour in a smart home-A data mining approach, Pervasive and Mobile Computing, Volume 3, Issue 2, Pages 95-116, Elsevier Science

[8] Jorge Casillas, Francisco J. Martínez-López, 2007, Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour , Expert Systems with Applications, Elsevier Science

[9] Hee Seok Song, Jae kyeong Kim, Soung Hie Kim, 2001, Mining the change of customer behavior in an internet shopping mall, Expert Systems with Applications, Elsevier Science, Volume 21, Issue 3,Pages 157-168

[10] Man Wai Lee, Sherry Y. Chen, Kyriacos Chrysostomou, Xiaohui Liu, 2008, Mining students’ behavior in web-based learning programs, Expert Systems with Applicationsx, Elsevier Science

[11] Yeong Bin Cho, Yoon Ho Cho, Soung Hie Kim, 2005, Mining changes in customer buying behavior for collaborative recommendations, Expert Systems with Applications, Elsevier Science, Volume 28, Issue 2, Pages 359-369

[12] Mu-Chen Chen, Ai-Lun Chiu, Hsu-Hwa Chang, 2005, Mining changes in customer behavior in retail marketing, Expert Systems with Applications, Volume 28, Issue 4, Pages 773-781, Elsevier Science

[13] Aihua Li, Yong Shi, Jing He, 2008, MCLP-based methods for improving “Bad” catching rate in credit cardholder behavior analysis, Applied Soft Computing, Elsevier Science, Volume 8, Issue 3, Pages 1259-1265

[14] Vincent S. Tseng, Kawuu W. Lin, 2006, Efficient mining and prediction of user behavior patterns in mobile web systems, Information and Software Technology, Volume 48, Issue 6, Pages 357-369, Elsevier Science

[15] Paolo Giudici, Gianluca Passerone, 2002, Data mining of association structures to model consumer behaviour, Computational Statistics & Data Analysis, Elsevier Science, Volume 38, Issue 4, Pages 533-541

[16] Weitong Huang, Yu Zhao, Shiqiang Yang, Yuchang Lu, 2008, Analysis of the user behavior and opinion classification based on the BBS, Applied Mathematics and Computation,, Elsevier Science

[17] Yue-Shi Lee, Show-Jane Yen, 2008, Incremental and interactive mining of web traversal patterns, Information Sciences, Elsevier Science, Volume 178, Issue 2, Pages 287-306

[18] Eytan Adar, Daniel S. Weld, Brian N. Bershad, Steven S. Gribble, 2007, Why we search- visualizing and predicting user behavior, WWW 2007, ACM, 161-170

[19] Hongliang Yu,Dongdong Zheng, Ben Y. Zhao, Weimin Zheng, 2006, Understanding user behavior in large-scale video-on-demand systems, ACM SIGOPS Operating Systems Review, ACM, Volume 40 , Issue 4 : 333-344

[20] Nuria Oliver; greg smith; chintan thakkar; Arun C. Surendran, 2006, SWISH: semantic analysis of window titles and switching history, IUI’06, ACM, 194-201

[21] Nick Craswell, Martin Szummer, 2007, Random walks on the click graph, SIGIR ’07, ACM, 239-246

[22] Augusto Celentano, Fabio Pittarello, 2004, Observing and adapting user behavior in navigational 3D interfaces, AVI ’04: Proceedings of the working conference on Advanced visual interfaces, ACM, 275-282

[23] Sylvain Mongy, Fatma Bouali, Chabane Djeraba, 2005, Analyzing user’s behavior on a video database, MDM ’05: Proceedings of the 6th international workshop on Multimedia data mining, ACM, 95-100

Cost, Impact & Risk

[1] Gary R. Consolazio, David R. Cowan, 2003, Nonlinear analysis of barge crush behavior and its relationship to impact resistant bridge design, Computers & Structures, Elsevier Science, Volume 81, Issues 8-11, Pages 547-557

[2] T. Bonald, J. W. Roberts, 2003, Congestion at flow level and the impact of user behaviour, Computer Networks, Elsevier Science, Volume 42, Issue 4, Pages 521-536

[3] Yehuda Baruch, 2005, Bullying on the net-adverse behavior on e-mail and its impact, Information & Management, Elsevier Science, Volume 42, Issue 2, Pages 361-371

Modeling & Presentation

[1] Baoyao Zhou; Siu Cheung Hui; Fong, A.C.M., 2005, Discovering and visualizing temporal-based Web access behavior, Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE, 297 – 300

[2] Debra VanderMeer, Kaushik Dutta, Anindya Datta, 2000, Enabling Scalable Online Personalization on the Web, EC’00, ACM, 185-196

Simulation

[1] Umberto Crisalli, 1999, User’s behaviour simulation of intercity rail service choices, Simulation Practice and Theory, Elsevier Science, Volume 7, Issue 3, Pages 233-249

[2] J. Pfafferott, S. Herkel, 2007, Statistical simulation of user behaviour in low-energy office buildings, Solar Energy, Elsevier Science, Volume 81, Issue 5, Pages 676-682

Applications

  • Show-Jane Yen, Yue-Shi Lee and Min-Chi Hsieh, 2005, An Efficient Incremental Algorithm for Mining Web Traversal Patterns, IEEE International Conference on e-Business Engineering, IEEE, Page(s):274 – 281
  • Seung Ha, Hong Jung, Yong Oh, 2006, Method to analyze user behavior in home environment, Personal and Ubiquitous Computing, Volume 10 Issue 2-3, 110-121
  • Emre Kiciman, Benjamin Livshits, 2007, Knowing the user’s every move- user activity tracking for website usability evaluation and implicit , ACM SIGOPS Operating Systems Review, Volume 41 Issue 6, 203-212
  • Mikhail Bilenko, Ryen W. White, 2008, Mining the search trails of surfing crowds- identifying relevant websites from user activity, WWW08, ACM, 51-60
  • Debra VanderMeer, Kaushik Dutta, Anindya Datta, Krithi Ramamritham, Shamkant B. Navanthe, 2000, Enabling Scalable Online Personalization on the Web, EC ’00: Proceedings of the 2nd ACM conference on Electronic commerce, ACM, 185-196
  • Şule Gündüz, M. Tamer Özsu, 2003, A Web page prediction model based on click-stream tree representation of user behavior, KDD03, ACM, 535-540

Reasoning about Action

Reasoning about Action Resources

http://www.cs.utep.edu/actions/researchers.html