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Alexander Tuzhilin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alexander Tuzhilin, James Clifford
    A Temporal Relational Algebra as Basis for Temporal Relational Completeness. [Citation Graph (18, 10)][DBLP]
    VLDB, 1990, pp:13-23 [Conf]
  2. James Clifford, Albert Croker, Alexander Tuzhilin
    On Completeness of Historical Relational Query Languages. [Citation Graph (12, 29)][DBLP]
    ACM Trans. Database Syst., 1994, v:19, n:1, pp:64-116 [Journal]
  3. Abraham Silberschatz, Alexander Tuzhilin
    What Makes Patterns Interesting in Knowledge Discovery Systems. [Citation Graph (6, 4)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1996, v:8, n:6, pp:970-974 [Journal]
  4. Abraham Silberschatz, Alexander Tuzhilin
    On Subjective Measures of Interestingness in Knowledge Discovery. [Citation Graph (5, 0)][DBLP]
    KDD, 1995, pp:275-281 [Conf]
  5. Vasant Dhar, Alexander Tuzhilin
    Abstract-Driven Pattern Discovery in Databases. [Citation Graph (4, 8)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1993, v:5, n:6, pp:926-938 [Journal]
  6. Alexander Tuzhilin, Paul G. Spirakis
    A Semantic Approach to Correctness of Concurrent Transaction Executions. [Citation Graph (2, 11)][DBLP]
    PODS, 1985, pp:85-95 [Conf]
  7. Balaji Padmanabhan, Alexander Tuzhilin
    Pattern Discovery in Temporal Databases: A Temporal Logic Approach. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:351-354 [Conf]
  8. Balaji Padmanabhan, Alexander Tuzhilin
    A Belief-Driven Method for Discovering Unexpected Patterns. [Citation Graph (1, 0)][DBLP]
    KDD, 1998, pp:94-100 [Conf]
  9. Gideon Berger, Alexander Tuzhilin
    Discovering Unexpected Patterns in Temporal Data Using Temporal Logic. [Citation Graph (0, 0)][DBLP]
    Temporal Databases, Dagstuhl, 1997, pp:281-309 [Conf]
  10. Alexander Tuzhilin
    A Pattern Discovery Algebra. [Citation Graph (0, 0)][DBLP]
    DMKD, 1997, pp:0-0 [Conf]
  11. Alexander Tuzhilin, Zvi M. Kedem
    Querying and Controlling the Future Behaviour of Complex Objects. [Citation Graph (0, 21)][DBLP]
    ICDE, 1989, pp:434-442 [Conf]
  12. Ke Wang, Yuelong Jiang, Alexander Tuzhilin
    Mining Actionable Patterns by Role Models. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:16- [Conf]
  13. Tianyi Jiang, Alexander Tuzhilin
    Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:419-422 [Conf]
  14. Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu
    Mining Patterns That Respond to Actions. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:669-672 [Conf]
  15. Tianyi Jiang, Alexander Tuzhilin
    Improving Personalization Solutions through Optimal Segmentation of Customer Bases. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:307-318 [Conf]
  16. Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin
    Personalization in Context: Does Context Matter When Building Personalized Customer Models? [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:222-231 [Conf]
  17. Gediminas Adomavicius, Alexander Tuzhilin
    Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. [Citation Graph (0, 0)][DBLP]
    KDD, 1997, pp:111-114 [Conf]
  18. Gediminas Adomavicius, Alexander Tuzhilin
    User Profiling in Personalization Applications Through Rule Discovery and Validation. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:377-381 [Conf]
  19. Balaji Padmanabhan, Alexander Tuzhilin
    Small is beautiful: discovering the minimal set of unexpected patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:54-63 [Conf]
  20. Alexander Tuzhilin, Gediminas Adomavicius
    Handling very large numbers of association rules in the analysis of microarray data. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:396-404 [Conf]
  21. Alexander Tuzhilin, Bing Liu
    Querying multiple sets of discovered rules. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:52-60 [Conf]
  22. Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin
    On the discovery of significant statistical quantitative rules. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:374-383 [Conf]
  23. Zvi M. Kedem, Alexander Tuzhilin
    Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. [Citation Graph (0, 9)][DBLP]
    PODS, 1989, pp:336-346 [Conf]
  24. James Clifford, Albert Croker, Fabio Grandi, Alexander Tuzhilin
    On Temporal Grouping [Citation Graph (0, 0)][DBLP]
    Temporal Databases, 1995, pp:194-213 [Conf]
  25. Gediminas Adomavicius, Alexander Tuzhilin
    Multidimensional Recommender Systems: A Data Warehousing Approach. [Citation Graph (0, 0)][DBLP]
    WELCOM, 2001, pp:180-192 [Conf]
  26. Alexander Tuzhilin
    Querying Datalog Programs with Temporal Logic. [Citation Graph (0, 0)][DBLP]
    Acta Inf., 1993, v:30, n:7, pp:679-700 [Journal]
  27. Alexander Tuzhilin, Zvi M. Kedem
    Modeling Data-Intensive Reactive Systems with Relational Transition Systems. [Citation Graph (0, 0)][DBLP]
    Acta Inf., 1996, v:33, n:3, pp:203-231 [Journal]
  28. Gediminas Adomavicius, Alexander Tuzhilin
    Personalization technologies: a process-oriented perspective. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2005, v:48, n:10, pp:83-90 [Journal]
  29. Gediminas Adomavicius, Alexander Tuzhilin
    Using Data Mining Methods to Build Customer Profiles. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 2001, v:34, n:2, pp:74-82 [Journal]
  30. Gediminas Adomavicius, Alexander Tuzhilin
    Expert-Driven Validation of Rule-Based User Models in Personalization Applications. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2001, v:5, n:1/2, pp:33-58 [Journal]
  31. Balaji Padmanabhan, Alexander Tuzhilin
    Knowledge refinement based on the discovery of unexpected patterns in data mining. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2002, v:33, n:3, pp:309-321 [Journal]
  32. Gediminas Adomavicius, Alexander Tuzhilin
    An Architecture of e-Butler: A Consumer-Centric Online Personalization System. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2002, v:2, n:3, pp:313-327 [Journal]
  33. Alexander Tuzhilin, Louiqa Raschid
    From the Guest Co-Editors. [Citation Graph (0, 0)][DBLP]
    INFORMS Journal on Computing, 2003, v:15, n:2, pp:121-122 [Journal]
  34. Alexander Tuzhilin, James Clifford
    On Periodicity in Temporal Databases. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 1995, v:20, n:8, pp:619-639 [Journal]
  35. Alexander Tuzhilin
    Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:2, n:2, pp:115-116 [Journal]
  36. Gediminas Adomavicius, Alexander Tuzhilin
    Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:6, pp:734-749 [Journal]
  37. Tianyi Jiang, Alexander Tuzhilin
    Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever? [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:10, pp:1297-1311 [Journal]
  38. Balaji Padmanabhan, Alexander Tuzhilin
    On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:2, pp:202-216 [Journal]
  39. Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin
    Incorporating contextual information in recommender systems using a multidimensional approach. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2005, v:23, n:1, pp:103-145 [Journal]
  40. Alexander Tuzhilin
    Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 1995, v:13, n:3, pp:269-304 [Journal]
  41. Alexander Tuzhilin
    Extending Temporal Logic to Support High-Level Simulations. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Model. Comput. Simul., 1995, v:5, n:2, pp:129-155 [Journal]
  42. Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione
    User Profiling with Hierarchical Context: An e-Retailer Case Study. [Citation Graph (0, 0)][DBLP]
    CONTEXT, 2007, pp:369-383 [Conf]

  43. The Effect of Context on the Predictive Performance of Segmentation. [Citation Graph (, )][DBLP]


  44. Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences. [Citation Graph (, )][DBLP]


  45. Improving Collaborative Filtering Recommendations Using External Data. [Citation Graph (, )][DBLP]


  46. Social networks: looking ahead. [Citation Graph (, )][DBLP]


  47. An energy-efficient mobile recommender system. [Citation Graph (, )][DBLP]


  48. Context-aware recommender systems. [Citation Graph (, )][DBLP]


  49. Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. [Citation Graph (, )][DBLP]


  50. Leveraging aggregate ratings for better recommendations. [Citation Graph (, )][DBLP]


  51. The long tail of recommender systems and how to leverage it. [Citation Graph (, )][DBLP]


  52. Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. [Citation Graph (, )][DBLP]


  53. Managing large collections of data mining models. [Citation Graph (, )][DBLP]


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