| 2007 | ||
|---|---|---|
| 45 | EE | Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione: User Profiling with Hierarchical Context: An e-Retailer Case Study. CONTEXT 2007: 369-383 |
| 2006 | ||
| 44 | EE | Ke Wang, Yuelong Jiang, Alexander Tuzhilin: Mining Actionable Patterns by Role Models. ICDE 2006: 16 |
| 43 | EE | Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin: Personalization in Context: Does Context Matter When Building Personalized Customer Models? ICDM 2006: 222-231 |
| 42 | EE | Tianyi Jiang, Alexander Tuzhilin: Improving Personalization Solutions through Optimal Segmentation of Customer Bases. ICDM 2006: 307-318 |
| 41 | EE | Tianyi Jiang, Alexander Tuzhilin: Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever? IEEE Trans. Knowl. Data Eng. 18(10): 1297-1311 (2006) |
| 40 | EE | Balaji Padmanabhan, Alexander Tuzhilin: On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery. IEEE Trans. Knowl. Data Eng. 18(2): 202-216 (2006) |
| 2005 | ||
| 39 | EE | Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu: Mining Patterns That Respond to Actions. ICDM 2005: 669-672 |
| 38 | EE | Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. 23(1): 103-145 (2005) |
| 37 | EE | Gediminas Adomavicius, Alexander Tuzhilin: Personalization technologies: a process-oriented perspective. Commun. ACM 48(10): 83-90 (2005) |
| 36 | EE | Gediminas Adomavicius, Alexander Tuzhilin: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Trans. Knowl. Data Eng. 17(6): 734-749 (2005) |
| 2004 | ||
| 35 | EE | Tianyi Jiang, Alexander Tuzhilin: Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. ICDM 2004: 419-422 |
| 34 | EE | Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin: On the discovery of significant statistical quantitative rules. KDD 2004: 374-383 |
| 2003 | ||
| 33 | EE | Alexander Tuzhilin, Louiqa Raschid: From the Guest Co-Editors. INFORMS Journal on Computing 15(2): 121-122 (2003) |
| 2002 | ||
| 32 | EE | Alexander Tuzhilin, Gediminas Adomavicius: Handling very large numbers of association rules in the analysis of microarray data. KDD 2002: 396-404 |
| 31 | EE | Alexander Tuzhilin, Bing Liu: Querying multiple sets of discovered rules. KDD 2002: 52-60 |
| 30 | EE | Balaji Padmanabhan, Alexander Tuzhilin: Knowledge refinement based on the discovery of unexpected patterns in data mining. Decision Support Systems 33(3): 309-321 (2002) |
| 29 | EE | Gediminas Adomavicius, Alexander Tuzhilin: An Architecture of e-Butler: A Consumer-Centric Online Personalization System. International Journal of Computational Intelligence and Applications 2(3): 313-327 (2002) |
| 2001 | ||
| 28 | EE | Gediminas Adomavicius, Alexander Tuzhilin: Multidimensional Recommender Systems: A Data Warehousing Approach. WELCOM 2001: 180-192 |
| 27 | Gediminas Adomavicius, Alexander Tuzhilin: Expert-Driven Validation of Rule-Based User Models in Personalization Applications. Data Min. Knowl. Discov. 5(1/2): 33-58 (2001) | |
| 26 | EE | Gediminas Adomavicius, Alexander Tuzhilin: Using Data Mining Methods to Build Customer Profiles. IEEE Computer 34(2): 74-82 (2001) |
| 2000 | ||
| 25 | EE | Balaji Padmanabhan, Alexander Tuzhilin: Small is beautiful: discovering the minimal set of unexpected patterns. KDD 2000: 54-63 |
| 24 | EE | Alexander Tuzhilin: Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. SIGKDD Explorations 2(2): 115-116 (2000) |
| 1999 | ||
| 23 | EE | Gediminas Adomavicius, Alexander Tuzhilin: User Profiling in Personalization Applications Through Rule Discovery and Validation. KDD 1999: 377-381 |
| 1998 | ||
| 22 | Balaji Padmanabhan, Alexander Tuzhilin: A Belief-Driven Method for Discovering Unexpected Patterns. KDD 1998: 94-100 | |
| 1997 | ||
| 21 | Alexander Tuzhilin: A Pattern Discovery Algebra. DMKD 1997: 0- | |
| 20 | Gediminas Adomavicius, Alexander Tuzhilin: Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. KDD 1997: 111-114 | |
| 19 | EE | Gideon Berger, Alexander Tuzhilin: Discovering Unexpected Patterns in Temporal Data Using Temporal Logic. Temporal Databases, Dagstuhl 1997: 281-309 |
| 1996 | ||
| 18 | Balaji Padmanabhan, Alexander Tuzhilin: Pattern Discovery in Temporal Databases: A Temporal Logic Approach. KDD 1996: 351-354 | |
| 17 | Alexander Tuzhilin, Zvi M. Kedem: Modeling Data-Intensive Reactive Systems with Relational Transition Systems. Acta Inf. 33(3): 203-231 (1996) | |
| 16 | EE | Abraham Silberschatz, Alexander Tuzhilin: What Makes Patterns Interesting in Knowledge Discovery Systems. IEEE Trans. Knowl. Data Eng. 8(6): 970-974 (1996) |
| 1995 | ||
| 15 | James Clifford, Alexander Tuzhilin: Recent Advances in Temporal Databases, Proceedings of the International Workshop on Temporal Databases, Zürich, Switzerland, 17-18 September 1995 Springer 1995 | |
| 14 | Abraham Silberschatz, Alexander Tuzhilin: On Subjective Measures of Interestingness in Knowledge Discovery. KDD 1995: 275-281 | |
| 13 | James Clifford, Albert Croker, Fabio Grandi, Alexander Tuzhilin: On Temporal Grouping Temporal Databases 1995: 194-213 | |
| 12 | EE | Alexander Tuzhilin: Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic. ACM Trans. Inf. Syst. 13(3): 269-304 (1995) |
| 11 | EE | Alexander Tuzhilin: Extending Temporal Logic to Support High-Level Simulations. ACM Trans. Model. Comput. Simul. 5(2): 129-155 (1995) |
| 10 | EE | Alexander Tuzhilin, James Clifford: On Periodicity in Temporal Databases. Inf. Syst. 20(8): 619-639 (1995) |
| 1994 | ||
| 9 | EE | James Clifford, Albert Croker, Alexander Tuzhilin: On Completeness of Historical Relational Query Languages. ACM Trans. Database Syst. 19(1): 64-116 (1994) |
| 1993 | ||
| 8 | James Clifford, Albert Croker, Alexander Tuzhilin: On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models. Temporal Databases 1993: 496-533 | |
| 7 | Alexander Tuzhilin: Applications of temporal Databases to Knowledge-based Simulations. Temporal Databases 1993: 580-593 | |
| 6 | Alexander Tuzhilin: Querying Datalog Programs with Temporal Logic. Acta Inf. 30(7): 679-700 (1993) | |
| 5 | EE | Vasant Dhar, Alexander Tuzhilin: Abstract-Driven Pattern Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5(6): 926-938 (1993) |
| 1990 | ||
| 4 | EE | Alexander Tuzhilin, James Clifford: A Temporal Relational Algebra as Basis for Temporal Relational Completeness. VLDB 1990: 13-23 |
| 1989 | ||
| 3 | EE | Alexander Tuzhilin, Zvi M. Kedem: Querying and Controlling the Future Behaviour of Complex Objects. ICDE 1989: 434-442 |
| 2 | EE | Zvi M. Kedem, Alexander Tuzhilin: Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. PODS 1989: 336-346 |
| 1985 | ||
| 1 | EE | Alexander Tuzhilin, Paul G. Spirakis: A Semantic Approach to Correctness of Concurrent Transaction Executions. PODS 1985: 85-95 |
| 1 | Gediminas Adomavicius | [20] [23] [26] [27] [28] [29] [32] [36] [37] [38] |
| 2 | Gideon Berger | [19] |
| 3 | James Clifford | [4] [8] [9] [10] [13] [15] |
| 4 | Albert Croker | [8] [9] [13] |
| 5 | Vasant Dhar | [5] |
| 6 | Ada Wai-Chee Fu | [39] |
| 7 | Michele Gorgoglione | [43] [45] |
| 8 | Fabio Grandi | [13] |
| 9 | Tianyi Jiang | [35] [41] [42] |
| 10 | Yuelong Jiang | [39] [44] |
| 11 | Zvi M. Kedem | [2] [3] [17] |
| 12 | Bing Liu | [31] |
| 13 | Balaji Padmanabhan | [18] [22] [25] [30] [34] [40] |
| 14 | Cosimo Palmisano | [43] [45] |
| 15 | Louiqa Raschid | [33] |
| 16 | Ramesh Sankaranarayanan | [38] |
| 17 | Shahana Sen | [38] |
| 18 | Abraham Silberschatz (Avi Silberschatz) | [14] [16] |
| 19 | Paul G. Spirakis | [1] |
| 20 | Ke Wang | [39] [44] |
| 21 | Hong Zhang | [34] |
Colors in the list of coauthors