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Volumn , Issue , 2010, Pages 347-354

Estimating probabilities for effective data fusion

Author keywords

Information retrieval; Probabilistic data fusion; Results merging

Indexed keywords

ACCURATE ESTIMATION; DISTRIBUTION OF RELEVANT DOCUMENTS; DOCUMENT COLLECTION; EMPIRICAL STUDIES; EVALUATION METRICS; EVALUATION RESULTS; FUSION PERFORMANCE; HIGH QUALITY; PROBABILISTIC DATA FUSION; PROBABILITY CALCULATIONS; RESULTS MERGING; SEARCH RESULTS; SIMILAR PATTERN; TRAINING DATA;

EID: 77956035137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835508     Document Type: Conference Paper
Times cited : (32)

References (19)
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  • 6
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    • Howe, A.E.1    Dreilinger, D.2
  • 7
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    • Lee, J.H.1
  • 15
    • 33748731480 scopus 로고    scopus 로고
    • The MetaCrawler architecture for resource aggregation on the web
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    • (1997) IEEE Expert , pp. 11-14
    • Selberg, E.1    Etzioni, O.2
  • 16
    • 37149037779 scopus 로고    scopus 로고
    • Segmentation of search engine results for effective data-fusion
    • April
    • M. Shokouhi. Segmentation of Search Engine Results for Effective Data-Fusion. Advances in Information Retrieval, 4425, April 2007.
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    • Shokouhi, M.1
  • 17
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    • Fusion via a linear combination of scores
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    • Vogt, C.C.1    Cottrell, G.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.