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Bamshad Mobasher: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
    Clustering Based On Association Rule Hypergraphs. [Citation Graph (6, 0)][DBLP]
    DMKD, 1997, pp:0-0 [Conf]
  2. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
    Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. [Citation Graph (1, 6)][DBLP]
    IEEE Data Eng. Bull., 1998, v:21, n:1, pp:15-22 [Journal]
  3. Robert Cooley, Bamshad Mobasher, Jaideep Srivastava
    Data Preparation for Mining World Wide Web Browsing Patterns. [Citation Graph (1, 0)][DBLP]
    Knowl. Inf. Syst., 1999, v:1, n:1, pp:5-32 [Journal]
  4. Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
    Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  5. John Collins, Maksim Tsvetovat, Rashmi Sundareswara, Joshua van Tonder, Maria L. Gini, Bamshad Mobasher
    Evaluating Risk: Flexibility and Feasibility in Multi-Agent Contracting. [Citation Graph (0, 0)][DBLP]
    Agents, 1999, pp:350-351 [Conf]
  6. John Collins, Ben Youngdahl, Scott Jamison, Bamshad Mobasher, Maria L. Gini
    A Market Architecture for Multi-Agent Contracting. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:285-292 [Conf]
  7. Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
    WebACE: A Web Agent for Document Categorization and Exploration. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:408-415 [Conf]
  8. Erik S. Steinmetz, John Collins, Scott Jamison, Rashmi Sundareswara, Bamshad Mobasher, Maria L. Gini
    Bid Evaluation and Selection in the MAGNET Automated Contracting System. [Citation Graph (0, 0)][DBLP]
    AMET, 1998, pp:105-125 [Conf]
  9. Bamshad Mobasher, Honghua Dai, Tao Luo, Yuqing Sun, Jiang Zhu
    Integrating Web Usage and Content Mining for More Effective Personalization. [Citation Graph (0, 0)][DBLP]
    EC-Web, 2000, pp:165-176 [Conf]
  10. Yanzan Zhou, Bamshad Mobasher
    Web User Segmentation Based on a Mixture of Factor Analyzers. [Citation Graph (0, 0)][DBLP]
    EC-Web, 2006, pp:11-20 [Conf]
  11. Bamshad Mobasher, Xin Jin, Yanzan Zhou
    Semantically Enhanced Collaborative Filtering on the Web. [Citation Graph (0, 0)][DBLP]
    EWMF, 2003, pp:57-76 [Conf]
  12. Honghua Dai, Bamshad Mobasher
    A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining. [Citation Graph (0, 0)][DBLP]
    International Conference on Internet Computing, 2003, pp:58-64 [Conf]
  13. Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Robin D. Burke
    Concept Based Query Enhancement in the ARCH Search Agent. [Citation Graph (0, 0)][DBLP]
    International Conference on Internet Computing, 2003, pp:613-619 [Conf]
  14. Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams
    Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:577-580 [Conf]
  15. Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa
    Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:669-672 [Conf]
  16. Robert Cooley, Bamshad Mobasher, Jaideep Srivastava
    Web Mining: Information and Pattern Discovery on the World Wide Web. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:558-567 [Conf]
  17. Sarabjot S. Anand, Bamshad Mobasher
    Intelligent Techniques for Web Personalization. [Citation Graph (0, 0)][DBLP]
    ITWP, 2003, pp:1-36 [Conf]
  18. John Collins, Rashmi Sundareswara, Maria L. Gini, Bamshad Mobasher
    Bid Selection Strategies for Multi-agent Contracting in the Presence of Scheduling Constraints. [Citation Graph (0, 0)][DBLP]
    Agent Mediated Electronic Commerce (IJCAI Workshop), 1999, pp:113-130 [Conf]
  19. Xin Jin, Bamshad Mobasher, Yanzan Zhou
    A Web Recommendation System Based on Maximum Entropy. [Citation Graph (0, 0)][DBLP]
    ITCC (1), 2005, pp:213-218 [Conf]
  20. Bettina Berendt, Bamshad Mobasher, Miki Nakagawa, Myra Spiliopoulou
    The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 2002, pp:159-179 [Conf]
  21. Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
    Classification features for attack detection in collaborative recommender systems. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:542-547 [Conf]
  22. Xin Jin, Yanzan Zhou, Bamshad Mobasher
    Web usage mining based on probabilistic latent semantic analysis. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:197-205 [Conf]
  23. Xin Jin, Yanzan Zhou, Bamshad Mobasher
    A maximum entropy web recommendation system: combining collaborative and content features. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:612-617 [Conf]
  24. Bamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik
    Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 2005, pp:96-118 [Conf]
  25. Bamshad Mobasher, Jacek Leszczylowski, Don Pigozzi
    Negation as Partial Failure. [Citation Graph (0, 0)][DBLP]
    LPNMR, 1993, pp:244-262 [Conf]
  26. Xin Jin, Yanzan Zhou, Bamshad Mobasher
    Task-Oriented Web User Modeling for Recommendation. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:109-118 [Conf]
  27. Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
    Detecting Profile Injection Attacks in Collaborative Recommender Systems. [Citation Graph (0, 0)][DBLP]
    CEC/EEE, 2006, pp:23- [Conf]
  28. Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa
    Effective personalization based on association rule discovery from web usage data. [Citation Graph (0, 0)][DBLP]
    WIDM, 2001, pp:9-15 [Conf]
  29. Maksim Tsvetovatyy, Maria L. Gini, Bamshad Mobasher, Zbigniew Wieckowski
    Magma: An Agent Based Virtual Market for Electronic Commerce. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1997, v:11, n:6, pp:501-523 [Journal]
  30. Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh
    The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:1, pp:103-108 [Journal]
  31. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
    Document Categorization and Query Generation on the World Wide Web Using WebACE. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1999, v:13, n:5-6, pp:365-391 [Journal]
  32. Bamshad Mobasher, Robert Cooley, Jaideep Srivastava
    Automatic personalization based on Web usage mining. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2000, v:43, n:8, pp:142-151 [Journal]
  33. Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa
    Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2002, v:6, n:1, pp:61-82 [Journal]
  34. Myra Spiliopoulou, Bamshad Mobasher, Bettina Berendt, Miki Nakagawa
    A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis. [Citation Graph (0, 0)][DBLP]
    INFORMS Journal on Computing, 2003, v:15, n:2, pp:171-190 [Journal]
  35. John Collins, Corey Bilot, Maria L. Gini, Bamshad Mobasher
    Decision Processes in Agent-Based Automated Contracting. [Citation Graph (0, 0)][DBLP]
    IEEE Internet Computing, 2001, v:5, n:2, pp:61-0 [Journal]
  36. Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu
    WebKDD 2004: web mining and web usage analysis post-workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:2, pp:147-151 [Journal]
  37. Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
    WebKDD 2005: web mining and web usage analysis post-workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:139-142 [Journal]
  38. Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij M. Masand
    WebKDD 2006: web mining and web usage analysis post-workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:2, pp:84-89 [Journal]
  39. Bamshad Mobasher, Don Pigozzi, Giora Slutzki
    Multi-Valued Logic Programming Semantics: An Algebraic Approach. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1997, v:171, n:1-2, pp:77-109 [Journal]
  40. Ahu Sieg, Bamshad Mobasher, Robin D. Burke
    Representing Context in Web Search with Ontological User Profiles. [Citation Graph (0, 0)][DBLP]
    CONTEXT, 2007, pp:439-452 [Conf]
  41. Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
    Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    EC-Web, 2007, pp:99-108 [Conf]
  42. Bamshad Mobasher
    Data Mining for Web Personalization. [Citation Graph (0, 0)][DBLP]
    The Adaptive Web, 2007, pp:90-135 [Conf]
  43. Sarabjot S. Anand, Bamshad Mobasher
    Contextual Recommendation. [Citation Graph (0, 0)][DBLP]
    WebMine, 2006, pp:142-160 [Conf]
  44. Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Chad Williams
    Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2007, v:7, n:4, pp:- [Journal]
  45. Sarabjot S. Anand, Bamshad Mobasher
    Introduction to intelligent techniques for Web personalization. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2007, v:7, n:4, pp:- [Journal]

  46. Web search personalization with ontological user profiles. [Citation Graph (, )][DBLP]


  47. A consensus based approach to constrained clustering of software requirements. [Citation Graph (, )][DBLP]


  48. Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. [Citation Graph (, )][DBLP]


  49. Crawling Attacks Against Web-based Recommender Systems. [Citation Graph (, )][DBLP]


  50. Resource Recommendation in Collaborative Tagging Applications. [Citation Graph (, )][DBLP]


  51. Ontological User Profiles for Representing Context in Web Search. [Citation Graph (, )][DBLP]


  52. Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies. [Citation Graph (, )][DBLP]


  53. International workshop on recommendation and collaboration (ReColl 2008). [Citation Graph (, )][DBLP]


  54. Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach. [Citation Graph (, )][DBLP]


  55. Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes. [Citation Graph (, )][DBLP]


  56. Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation. [Citation Graph (, )][DBLP]


  57. A recommender system for requirements elicitation in large-scale software projects. [Citation Graph (, )][DBLP]


  58. A recommender system for dynamically evolving online forums. [Citation Graph (, )][DBLP]


  59. Robustness of collaborative recommendation based on association rule mining. [Citation Graph (, )][DBLP]


  60. The impact of ambiguity and redundancy on tag recommendation in folksonomies. [Citation Graph (, )][DBLP]


  61. Personalized recommendation in social tagging systems using hierarchical clustering. [Citation Graph (, )][DBLP]


  62. Workshop on recommender systems and the social web. [Citation Graph (, )][DBLP]


  63. Evaluating the Impact of Attacks in Collaborative Tagging Environments. [Citation Graph (, )][DBLP]


  64. A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms. [Citation Graph (, )][DBLP]


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