2009 | ||
---|---|---|
63 | Lawrence D. Bergman, Alexander Tuzhilin, Robin D. Burke, Alexander Felfernig, Lars Schmidt-Thieme: Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009 ACM 2009 | |
62 | Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone: Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. RecSys 2009: 265-268 | |
61 | Akhmed Umyarov, Alexander Tuzhilin: Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. RecSys 2009: 37-44 | |
60 | Tianyi Jiang, Alexander Tuzhilin: Improving Personalization Solutions through Optimal Segmentation of Customer Bases. IEEE Trans. Knowl. Data Eng. 21(3): 305-320 (2009) | |
59 | Tianyi Jiang, Alexander Tuzhilin: Dynamic micro-targeting: fitness-based approach to predicting individual preferences. Knowl. Inf. Syst. 19(3): 337-360 (2009) | |
58 | Bamshad Mobasher, Alexander Tuzhilin: Preface to the special issue on data mining for personalization. User Model. User-Adapt. Interact. 19(1-2): 1-3 (2009) | |
2008 | ||
57 | Akhmed Umyarov, Alexander Tuzhilin: Improving Collaborative Filtering Recommendations Using External Data. ICDM 2008: 618-627 | |
56 | Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins: Social networks: looking ahead. KDD 2008: 1060 | |
55 | Yoon-Joo Park, Alexander Tuzhilin: The long tail of recommender systems and how to leverage it. RecSys 2008: 11-18 | |
54 | Gediminas Adomavicius, Alexander Tuzhilin: Context-aware recommender systems. RecSys 2008: 335-336 | |
53 | M. F. Faraone, Michele Gorgoglione, S. Lombardi, Cosimo Palmisano, Umberto Panniello, Alexander Tuzhilin: The Effect of Context on the Predictive Performance of Segmentation. Web Intelligence/IAT Workshops 2008: 63-66 | |
52 | Bing Liu, Alexander Tuzhilin: Managing large collections of data mining models. Commun. ACM 51(2): 85-89 (2008) | |
51 | Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione: Using Context to Improve Predictive Modeling of Customers in Personalization Applications. IEEE Trans. Knowl. Data Eng. 20(11): 1535-1549 (2008) | |
2007 | ||
50 | Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione: User Profiling with Hierarchical Context: An e-Retailer Case Study. CONTEXT 2007: 369-383 | |
49 | Tianyi Jiang, Alexander Tuzhilin: Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences. ICDM 2007: 173-182 | |
48 | Akhmed Umyarov, Alexander Tuzhilin: Leveraging aggregate ratings for better recommendations. RecSys 2007: 161-164 | |
47 | Gediminas Adomavicius, Alexander Tuzhilin: Validation Sequence Optimization: A Theoretical Approach. INFORMS Journal on Computing 19(2): 185-200 (2007) | |
2006 | ||
46 | Ke Wang, Yuelong Jiang, Alexander Tuzhilin: Mining Actionable Patterns by Role Models. ICDE 2006: 16 | |
45 | Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin: Personalization in Context: Does Context Matter When Building Personalized Customer Models? ICDM 2006: 222-231 | |
44 | Tianyi Jiang, Alexander Tuzhilin: Improving Personalization Solutions through Optimal Segmentation of Customer Bases. ICDM 2006: 307-318 | |
43 | 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) | |
42 | 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) | |
41 | Gediminas Adomavicius, Alexander Tuzhilin: Personalization technologies: A process-oriented perspective. Wirtschaftsinformatik 48(6): 449-450 (2006) | |
2005 | ||
40 | Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu: Mining Patterns That Respond to Actions. ICDM 2005: 669-672 | |
39 | 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) | |
38 | Gediminas Adomavicius, Alexander Tuzhilin: Personalization technologies: a process-oriented perspective. Commun. ACM 48(10): 83-90 (2005) | |
37 | 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 | ||
36 | Tianyi Jiang, Alexander Tuzhilin: Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals. ICDM 2004: 419-422 | |
35 | Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin: On the discovery of significant statistical quantitative rules. KDD 2004: 374-383 | |
2003 | ||
34 | Alexander Tuzhilin, Louiqa Raschid: From the Guest Co-Editors. INFORMS Journal on Computing 15(2): 121-122 (2003) | |
2002 | ||
33 | Alexander Tuzhilin, Gediminas Adomavicius: Handling very large numbers of association rules in the analysis of microarray data. KDD 2002: 396-404 | |
32 | Alexander Tuzhilin, Bing Liu: Querying multiple sets of discovered rules. KDD 2002: 52-60 | |
31 | Balaji Padmanabhan, Alexander Tuzhilin: Knowledge refinement based on the discovery of unexpected patterns in data mining. Decision Support Systems 33(3): 309-321 (2002) | |
30 | 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 | ||
29 | Gediminas Adomavicius, Alexander Tuzhilin: Multidimensional Recommender Systems: A Data Warehousing Approach. WELCOM 2001: 180-192 | |
28 | 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) | |
27 | Gediminas Adomavicius, Alexander Tuzhilin: Using Data Mining Methods to Build Customer Profiles. IEEE Computer 34(2): 74-82 (2001) | |
2000 | ||
26 | Balaji Padmanabhan, Alexander Tuzhilin: Small is beautiful: discovering the minimal set of unexpected patterns. KDD 2000: 54-63 | |
25 | Alexander Tuzhilin: Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. SIGKDD Explorations 2(2): 115-116 (2000) | |
1999 | ||
24 | Gediminas Adomavicius, Alexander Tuzhilin: User Profiling in Personalization Applications Through Rule Discovery and Validation. KDD 1999: 377-381 | |
1998 | ||
23 | Balaji Padmanabhan, Alexander Tuzhilin: A Belief-Driven Method for Discovering Unexpected Patterns. KDD 1998: 94-100 | |
1997 | ||
22 | Alexander Tuzhilin: A Pattern Discovery Algebra. DMKD 1997: 0- | |
21 | Gediminas Adomavicius, Alexander Tuzhilin: Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. KDD 1997: 111-114 | |
20 | Gideon Berger, Alexander Tuzhilin: Discovering Unexpected Patterns in Temporal Data Using Temporal Logic. Temporal Databases, Dagstuhl 1997: 281-309 | |
1996 | ||
19 | Balaji Padmanabhan, Alexander Tuzhilin: Pattern Discovery in Temporal Databases: A Temporal Logic Approach. KDD 1996: 351-354 | |
18 | Alexander Tuzhilin, Zvi M. Kedem: Modeling Data-Intensive Reactive Systems with Relational Transition Systems. Acta Inf. 33(3): 203-231 (1996) | |
17 | Abraham Silberschatz, Alexander Tuzhilin: What Makes Patterns Interesting in Knowledge Discovery Systems. IEEE Trans. Knowl. Data Eng. 8(6): 970-974 (1996) | |
16 | James Clifford, Albert Croker, Alexander Tuzhilin: On Data Representation and Use in a Temporal Relational DBMS. Information Systems Research 7(3): 308-327 (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 | Alexander Tuzhilin: Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic. ACM Trans. Inf. Syst. 13(3): 269-304 (1995) | |
11 | Alexander Tuzhilin: Extending Temporal Logic to Support High-Level Simulations. ACM Trans. Model. Comput. Simul. 5(2): 129-155 (1995) | |
10 | Alexander Tuzhilin, James Clifford: On Periodicity in Temporal Databases. Inf. Syst. 20(8): 619-639 (1995) | |
1994 | ||
9 | 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 | Vasant Dhar, Alexander Tuzhilin: Abstract-Driven Pattern Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5(6): 926-938 (1993) | |
1990 | ||
4 | Alexander Tuzhilin, James Clifford: A Temporal Relational Algebra as Basis for Temporal Relational Completeness. VLDB 1990: 13-23 | |
1989 | ||
3 | Alexander Tuzhilin, Zvi M. Kedem: Querying and Controlling the Future Behaviour of Complex Objects. ICDE 1989: 434-442 | |
2 | Zvi M. Kedem, Alexander Tuzhilin: Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. PODS 1989: 336-346 | |
1985 | ||
1 | Alexander Tuzhilin, Paul G. Spirakis: A Semantic Approach to Correctness of Concurrent Transaction Executions. PODS 1985: 85-95 |