Regression relevance models for data fusion

Proceedings - International Workshop on Database and Expert Systems Applications, DEXA

Volumn , Issue , 2007, Pages 264-268

  Wu, Shengli ^a   Bi, Yaxin ^a   McClean, Sally ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; INFORMATION FUSION; INFORMATION SERVICES; PROBLEM SOLVING; REGRESSION ANALYSIS; TECHNICAL PRESENTATIONS;

LINEAR MODELS; LOGISTIC MODELS; REGRESSION MODELS; RELEVANCE MODELS; RELEVANCE SCORES; RETRIEVAL EFFECTIVENESSES; STATISTICAL REGRESSION TECHNIQUES;

MATHEMATICAL MODELS;

EID: 47849122245     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2007.33     Document Type: Conference Paper

References (6)

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3. Calve, A. L. and Savoy, J. Database Merging Strategy Based on Logistic Regression. Information Processing & Management, 2000, 36(3): 341-359.
4. nd Annual Text Retrieval Conference (TREC-2), 1994, NIST, Gaithersburg, USA, November.
5. Wu, S., & McClean, S. Performance prediction of data fusion for information retrieval. Information Processing & Management, 2006, 42(4): 899-915.
6. Wu, S., & McClean, S. Improving High Accuracy Retrieval by Eliminating the Uneven Correlation Effect in Data Fusion. Journal of the American Society for Information Science and Technology, 57(14): 1962-1973, 2006.