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Volumn 37, Issue 9, 2010, Pages 6515-6530

An intelligent information segmentation approach to extract financial data for business valuation

Author keywords

Business valuation; Financial data; Information retrieval; Intelligent information extraction; Knowledge base; Natural language processing; Non financial data; Text processing; Word segmentation

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; EFFICIENCY; FINANCE; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEARCH ENGINES; TEXT PROCESSING;

EID: 79960613565     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.02.134     Document Type: Article
Times cited : (19)

References (16)
  • 3
    • 3843085056 scopus 로고    scopus 로고
    • Applying machine learning to text segmentation for information retrieval
    • Cercone, N., Huang, X., Peng, F., & Schurmans, D. (2003). Applying machine learning to text segmentation for information retrieval. Information Retrieval, 6(3), 333-362. (Pubitemid 39046516)
    • (2003) Information Retrieval , vol.6 , Issue.3-4 , pp. 333-362
    • Huang, X.1    Peng, F.2    Schuurmans, D.3    Cercone, N.4    Robertson, S.E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.