Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach

Mutlu Mete, Nurcan Yuruk, Xiaowei Xu and Daniel Berleant
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Mutlu Mete: Texas A&M University-commerce
Nurcan Yuruk: University of Arkansas at Little Rock
Xiaowei Xu: University of Arkansas at Little Rock
Daniel Berleant: University of Arkansas at Little Rock

Chapter 11 in Data Engineering, 2009, pp 225-243 from Springer

Abstract: Abstract The number of scientific publications is exploding as online digital libraries and the World Wide Web grow. MEDLINE, the premier bibliographic database of the National Library of Medicine (NLM)National Library of Medicine (NLM) , contains about 18 million records from more than 7,300 different publications dating from 1965; it is growing by about 400,000 citations each year. The explosive growth of information in textual documents creates great need for techniques for knowledge discovery from text collections.

Keywords: Association Rule; Rule Mining; Association Rule Mining; Spread Cortical Depression; Support Threshold (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-1-4419-0176-7_11

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