Textual data mining for industrial knowledge management and text classification: A business oriented approach

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 4729-4739

  Ur Rahman, N ^a   Harding, J A ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Post Project Reviews; Text mining; Textual data mining

Indexed keywords

APRIORI; BUSINESS-ORIENTED APPROACH; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; CLUSTERING TECHNIQUES; CORPORATE INFORMATION; DATA SETS; DECISION MAKERS; DIGITAL DOCUMENTS; HYBRID APPLICATIONS; KNOWLEDGE WORKERS; LARGE PARTS; PERFORMANCE OF CLASSIFIER; POST-PROJECT REVIEW; SERVICE QUALITY; TEXT CLASSIFICATION; TEXT DOCUMENT; TEXT MINING; TEXT-BASED DOCUMENTS; TEXTUAL DATA; TEXTUAL DATABASE;

ASSOCIATION RULES; CONSTRUCTION INDUSTRY; DATA MINING; INDUSTRIAL RESEARCH; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE MANAGEMENT; MANAGEMENT SCIENCE; PROJECT MANAGEMENT; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

CLASSIFICATION (OF INFORMATION);

EID: 84855874287     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.124     Document Type: Article

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