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Sarabjot S. Anand: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sarabjot S. Anand, David A. Bell, John G. Hughes
    Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization. [Citation Graph (2, 0)][DBLP]
    KDD Workshop, 1994, pp:287-298 [Conf]
  2. Sarabjot S. Anand, David A. Bell, John G. Hughes
    The Role of Domain Knowledge in Data Mining. [Citation Graph (1, 4)][DBLP]
    CIKM, 1995, pp:37-43 [Conf]
  3. Sarabjot S. Anand, David A. Bell, John G. Hughes
    EDM: A General Framework for Data Mining Based on Evidence Theory. [Citation Graph (1, 0)][DBLP]
    Data Knowl. Eng., 1996, v:18, n:3, pp:189-223 [Journal]
  4. Sarabjot S. Anand, Bryan W. Scotney, Mee G. Tan, Sally I. McClean, David A. Bell, John G. Hughes, Ian C. Magill
    Designing a Kernel for Data Mining. [Citation Graph (1, 0)][DBLP]
    IEEE Expert, 1997, v:12, n:2, pp:65-74 [Journal]
  5. Sarabjot S. Anand, David W. Patterson, John G. Hughes
    Knowledge Intensive Exception Spaces. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:574-579 [Conf]
  6. Sarabjot S. Anand, Matthias Baumgarten, Alex G. Büchner, Maurice D. Mulvenna
    Gaining Insights into Web Customers using Web Intelligence. [Citation Graph (0, 0)][DBLP]
    ECAI, 2000, pp:681-685 [Conf]
  7. Sarabjot S. Anand, Maurice D. Mulvenna, Karine Chevalier
    On the Deployment of Web Usage Mining. [Citation Graph (0, 0)][DBLP]
    EWMF, 2003, pp:23-42 [Conf]
  8. David W. Patterson, Sarabjot S. Anand, John G. Hughes
    Skill Refinement through Competence Feedback. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:394-401 [Conf]
  9. Sarabjot S. Anand, David A. Bell, John G. Hughes, Mary Shapcott
    Evidential techniques in parallel database mining. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1995, pp:190-195 [Conf]
  10. Sarabjot S. Anand, David A. Bell, John G. Hughes, Mary Shapcott
    A High-Performance Data Mining Server. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1996, pp:907-908 [Conf]
  11. Sarabjot S. Anand, Bamshad Mobasher
    Intelligent Techniques for Web Personalization. [Citation Graph (0, 0)][DBLP]
    ITWP, 2003, pp:1-36 [Conf]
  12. Magdalini Eirinaki, Joannis Vlachakis, Sarabjot S. Anand
    IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior. [Citation Graph (0, 0)][DBLP]
    ITWP, 2003, pp:272-288 [Conf]
  13. Matthias Baumgarten, Alex G. Büchner, Sarabjot S. Anand, Maurice D. Mulvenna, John G. Hughes
    User-Driven Navigation Pattern Discovery from Internet Data. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 1999, pp:74-91 [Conf]
  14. Sarabjot S. Anand, John G. Hughes
    Hybrid Data Mining Systems: The Next Generation. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:13-24 [Conf]
  15. Sarabjot S. Anand, David W. Patterson, John G. Hughes, David A. Bell
    Discovering Case Knowledge Using Data Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:25-35 [Conf]
  16. Sarabjot S. Anand, David A. Bell, John G. Hughes
    An Empirical Performance Study of the Ingres Search Accelerator for a Large Property Management Database System. [Citation Graph (0, 3)][DBLP]
    VLDB, 1994, pp:676-685 [Conf]
  17. Alex G. Büchner, Matthias Baumgarten, Maurice D. Mulvenna, R. Böhm, Sarabjot S. Anand
    Data Mining and XML: Current and Future Issues. [Citation Graph (0, 0)][DBLP]
    WISE (2), 2000, pp:131-135 [Conf]
  18. 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]
  19. Sarabjot S. Anand
    Intelligent Data Analysis in Medicine and Pharmacology, Edited by Nada Lavrac, Elpida Keravnou and Blaz Zupan, Kluwer, 1997. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:18, n:1, pp:105-108 [Journal]
  20. Sarabjot S. Anand, A. E. Smith, P. W. Hamilton, J. S. Anand, John G. Hughes, P. H. Bartels
    An evaluation of intelligent prognostic systems for colorectal cancer. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:15, n:2, pp:193-214 [Journal]
  21. Maurice D. Mulvenna, Sarabjot S. Anand, Alex G. Büchner
    Personalization on the Net using Web mining: introduction. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2000, v:43, n:8, pp:122-125 [Journal]
  22. David W. Patterson, Sarabjot S. Anand, Werner Dubitzky, John G. Hughes
    Towards Automated Case Knowledge Discovery in the M2 Case-Based Reasoning System. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 1999, v:1, n:1, pp:61-82 [Journal]
  23. Sarabjot S. Anand, A. R. Patrick, John G. Hughes, David A. Bell
    A Data Mining methodology for cross-sales. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1998, v:10, n:7, pp:449-461 [Journal]
  24. Sarabjot S. Anand, Bamshad Mobasher
    Contextual Recommendation. [Citation Graph (0, 0)][DBLP]
    WebMine, 2006, pp:142-160 [Conf]
  25. Sarabjot S. Anand, Patricia Kearney, Mary Shapcott
    Generating semantically enriched user profiles for Web personalization. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2007, v:7, n:4, pp:- [Journal]
  26. 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]

  27. Diva: a variance-based clustering approach for multi-type relational data. [Citation Graph (, )][DBLP]


  28. Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets. [Citation Graph (, )][DBLP]


  29. Automated Taxonomy Generation for Summarizing Multi-Type Relational Datasets. [Citation Graph (, )][DBLP]


  30. Exploiting Domain Knowledge by Automated Taxonomy Generation in Recommender Systems. [Citation Graph (, )][DBLP]


  31. HIREL: An Incremental Clustering Algorithm for Relational Datasets. [Citation Graph (, )][DBLP]


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


  33. Knowledge discovery standards. [Citation Graph (, )][DBLP]


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