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Volumn , Issue , 2012, Pages 782-786

Multi-document summarization exploiting frequent itemsets

Author keywords

frequent itemset mining; multi document summarization; text mining

Indexed keywords

DATA COLLECTION; DATA MINING TECHNIQUES; DOCUMENT COLLECTION; DOCUMENT SUMMARIZATION; FREQUENT ITEMSET MINING; ITEM SETS; MULTI-DOCUMENT; MULTI-DOCUMENT SUMMARIZATION; RELEVANCE SCORE; TEXT MINING; TEXTUAL DOCUMENTS; TRANSACTIONAL DATA;

EID: 84863574381     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2245276.2245427     Document Type: Conference Paper
Times cited : (42)

References (17)
  • 1
    • 0027621699 scopus 로고    scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imieliński, and A. Swami. Mining association rules between sets of items in large databases. In ACM SIGMOD Record, volume 22, pages 207-216.
    • ACM SIGMOD Record , vol.22 , pp. 207-216
    • Agrawal, R.1    Imieliński, T.2    Swami, A.3
  • 5
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical test for comparing supervised classification learning algorithms
    • T. G. Dietterich. Approximate statistical test for comparing supervised classification learning algorithms. Neural Computation, 10(7), 1998.
    • (1998) Neural Computation , vol.10 , Issue.7
    • Dietterich, T.G.1
  • 8
    • 84953744816 scopus 로고
    • A statistical interpretation of term specificity and its application in retrieval
    • K. S. Jones. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 28:11-21, 1972.
    • (1972) Journal of Documentation , vol.28 , pp. 11-21
    • Jones, K.S.1
  • 11
    • 27344433526 scopus 로고    scopus 로고
    • Lexrank: Graph-based lexical centrality as salience in text summarization
    • D. R. Radev. Lexrank: Graph-based lexical centrality as salience in text summarization. Journal of Artificial Intelligence Research, 22:2004, 2004.
    • (2004) Journal of Artificial Intelligence Research , vol.22 , pp. 2004
    • Radev, D.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.