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Note: Links lead to the DBLP on the Web. Weiguo Fan Ning Liu , Jun Yan , Fengshan Bai , Benyu Zhang , Wensi Xi , Weiguo Fan, Zheng Chen , Lei Ji , Chenyong Hu , Wei-Ying Ma : A Similarity Reinforcement Algorithm for Heterogeneous Web Pages. APWeb 2005 : 121-132 Gui-Rong Xue , Hua-Jun Zeng , Zheng Chen , Yong Yu , Wei-Ying Ma , Wensi Xi , Weiguo Fan: Optimizing web search using web click-through data. CIKM 2004 : 118-126 Baoping Zhang , Marcos André Gonçalves , Weiguo Fan, Yuxin Chen , Edward A. Fox , Pável Calado , Marco Cristo : Combining structural and citation-based evidence for text classification. CIKM 2004 : 162-163 Unni Ravindranathan , Rao Shen , Marcos André Gonçalves , Weiguo Fan, Edward A. Fox , James W. Flanagan : Prototyping Digital Libraries Handling Heterogeneous Data Sources - The ETANA-DL Case Study. ECDL 2004 : 186-197 Weiguo Fan, Michael D. Gordon , Praveen Pathak , Wensi Xi , Edward A. Fox : Ranking Function Optimization for Effective Web Search by Genetic Programming: An Empirical Study. HICSS 2004 Unni Ravindranathan , Rao Shen , Marcos André Gonçalves , Weiguo Fan, Edward A. Fox , James W. Flanagan : ETANA-DL: managing complex information applications -- an archaeology digital library. JCDL 2004 : 414 Unni Ravindranathan , Rao Shen , Marcos André Gonçalves , Weiguo Fan, Edward A. Fox , James W. Flanagan : ETANA-DL: a digital library for integrated handling of heterogeneous archaeological data. JCDL 2004 : 76-77 Jun Yan , Benyu Zhang , Shuicheng Yan , Qiang Yang , Hua Li , Zheng Chen , Wensi Xi , Weiguo Fan, Wei-Ying Ma , QianSheng Cheng : IMMC: incremental maximum margin criterion. KDD 2004 : 725-730 Harris Wu , Dragomir R. Radev , Weiguo Fan: Toward Answer-Focused Summarization Using Search Engines. New Directions in Question Answering 2004 : 227-236 Weiguo Fan, Ming Luo , Li Wang , Wensi Xi , Edward A. Fox : Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval. SIGIR 2004 : 138-145 Weiguo Fan, Michael D. Gordon , Praveen Pathak : Discovery of Context-Specific Ranking Functions for Effective Information Retrieval Using Genetic Programming. IEEE Trans. Knowl. Data Eng. 16 (4): 523-527 (2004) Weiguo Fan, Michael D. Gordon , Praveen Pathak : A generic ranking function discovery framework by genetic programming for information retrieval. Inf. Process. Manage. 40 (4): 587-602 (2004) Weiguo Fan, Edward A. Fox , Praveen Pathak , Harris Wu : The effects of fitness functions on genetic programming-based ranking discovery forWeb search. JASIST 55 (7): 628-636 (2004) Li Wang , Weiguo Fan, Rui Yang , Wensi Xi , Ming Luo , Ye Zhou , Edward A. Fox : Ranking Function Discovery by Genetic Programming for Robust Retrieval. TREC 2003 : 828-836 Rui Yang , Li Wang , Weiguo Fan, Wensi Xi , Ming Luo , Ye Zhou , Edward A. Fox : VT at TREC-2003: The Web Track Report. TREC 2003 : 837- Dragomir R. Radev , Weiguo Fan, Hong Qi , Harris Wu , Amardeep Grewal : Probabilistic question answering on the web. WWW 2002 : 408-419 Michael Gordon , Robert K. Lindsay , Weiguo Fan: Literature-based discovery on the World Wide Web. ACM Trans. Internet Techn. 2 (4): 261-275 (2002) Dragomir R. Radev , Kelsey Libner , Weiguo Fan: Getting answers to natural language questions on the Web. JASIST 53 (5): 359-364 (2002) Dragomir R. Radev , Hong Qi , Zhiping Zheng , Sasha Blair-Goldensohn , Zhu Zhang , Weiguo Fan, John M. Prager : Mining the Web for Answers to Natural Language Questions. CIKM 2001 : 143-150 Weiguo Fan, Hongjun Lu , Stuart E. Madnick , David Wai-Lok Cheung : Discovering and reconciling value conflicts for numerical data integration. Inf. Syst. 26 (8): 635-656 (2001) Praveen Pathak , Michael Gordon , Weiguo Fan: Effective Information Retrieval using Genetic Algorithms based Matching Functions Adaptation. HICSS 2000 Weiguo Fan, Michael Gordon , Praveen Pathak : Personalization of search engine services for effective retrieval and knowledge management. ICIS 2000 : 20-34 Hongjun Lu , Weiguo Fan, Cheng Hian Goh , Stuart E. Madnick , David Wai-Lok Cheung : Discovering and Reconciling Semantic Conflicts: A Data Mining Perspective. DS-7 1997 : 409-427 1 [ 23 ] 2 [ 5 ] 3 [ 21 ] 4 [ 21 ] 5 [ 16 ] [ 22 ] [ 23 ] 6 [ 16 ] 7 [ 1 ] [ 4 ] 8 [ 21 ] 9 [ 17 ] [ 18 ] [ 20 ] 10 [ 9 ] [ 10 ] [ 11 ] [ 14 ] [ 17 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] 11 [ 1 ] 12 [ 17 ] [ 18 ] [ 20 ] [ 21 ] 13 [ 2 ] [ 3 ] [ 7 ] 14 [ 12 ] [ 13 ] [ 19 ] 15 [ 8 ] 16 [ 23 ] 17 [ 23 ] 18 [ 16 ] 19 [ 6 ] 20 [ 7 ] 21 [ 23 ] 22 [ 1 ] [ 4 ] 23 [ 9 ] [ 10 ] [ 14 ] 24 [ 16 ] [ 22 ] [ 23 ] 25 [ 1 ] [ 4 ] 26 [ 2 ] [ 3 ] [ 11 ] [ 12 ] [ 13 ] [ 19 ] 27 [ 5 ] 28 [ 5 ] [ 8 ] 29 [ 5 ] [ 6 ] [ 8 ] [ 15 ] 30 [ 17 ] [ 18 ] [ 20 ] 31 [ 17 ] [ 18 ] [ 20 ] 32 [ 9 ] [ 10 ] [ 14 ] 33 [ 8 ] [ 11 ] [ 15 ] 34 [ 9 ] [ 10 ] [ 14 ] [ 16 ] [ 19 ] [ 22 ] [ 23 ] 35 [ 22 ] 36 [ 16 ] [ 23 ] 37 [ 16 ] 38 [ 16 ] 39 [ 9 ] [ 10 ] 40 [ 22 ] 41 [ 22 ] 42 [ 21 ] 43 [ 16 ] [ 23 ] 44 [ 5 ] 45 [ 5 ] 46 [ 9 ] [ 10 ]  ©2005 Association for Computing Machinery |
