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Volumn , Issue , 2009, Pages 1155-1163

Address standardization with latent semantic association

Author keywords

Address; Data standardization

Indexed keywords

ADDRESS; BUSINESS INTELLIGENCE; CHINESE CORPUS; COMMERCIAL TOOLS; CONCEPT SPACE; CUSTOMER RELATIONSHIP MANAGEMENT; DATA CLEANSING; DATA DISTRIBUTION; DATA INTEGRATION; DATA STANDARDIZATION; DOMAIN SPECIFIC; LABELED TRAINING DATA; LATENT SEMANTICS; REFERENCE DATA; RULE-BASED APPROACH; RULE-BASED METHOD; STANDARD FORMAT; SUPERVISED LEARNING METHODS; TARGET DOMAIN; TIME-CONSUMING TASKS; TRAINING DATA;

EID: 70350623193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557144     Document Type: Conference Paper
Times cited : (16)

References (22)
  • 2
    • 70350650875 scopus 로고    scopus 로고
    • R. Associates. Raab associates guide to customer matching systems. 2003.
    • R. Associates. Raab associates guide to customer matching systems. 2003.
  • 4
    • 84936824188 scopus 로고
    • Word association norms, mutual information and lexicography
    • K. W. Church and P. Hanks. Word association norms, mutual information and lexicography. Computational Linguistics, 16(1):22-29, 1990.
    • (1990) Computational Linguistics , vol.16 , Issue.1 , pp. 22-29
    • Church, K.W.1    Hanks, P.2
  • 19
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:45-66, 2000.
    • (2000) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 20
    • 0034832365 scopus 로고    scopus 로고
    • Automatic segmentation of text into structured records
    • K. D. Vinayak Borkar and S. Sarawagiz. Automatic segmentation of text into structured records. In Proceedings of SIGMOD, pages 175-186, 2001.
    • (2001) Proceedings of SIGMOD , pp. 175-186
    • Vinayak Borkar, K.D.1    Sarawagiz, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.