Data mining

Benoît, Gerald

doi:10.1002/aris.1440360107

Cited by 33 publications

(25 citation statements)

References 157 publications

(145 reference statements)

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“…Knowledge discovery and data mining have become important areas of research over the past few years, and in addition to ARIST , several information science journals have published special issues reporting research on these topics (see, for example, Benoît, 2002; Qin & Norton, 1999; Raghavan, Deogun, & Server, 1998; Trybula, 1997; Vickery, 1997). Knowledge discovery and data mining use a variety of techniques to extract information from source documents.…”

Section: Information Extractionmentioning

confidence: 99%

Natural language processing

Chowdhury

2003

Annual Review Info Sci & Tec

682

242

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Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems

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Section: Information Extractionmentioning

confidence: 99%

Natural language processing

Chowdhury

2003

Annual Review Info Sci & Tec

682

242

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“…It starts with a large collection of texts, builds a term‐document matrix, and tries to uncover some similarity structures that are useful for information retrieval and related text‐analysis problems. Several recent ARIST chapters have focused on text mining and discovery (Benoǐt, 2002; Solomon, 2002; Trybula, 2000). These chapters provide complementary coverage of the field of text analysis.…”

Section: Introductionmentioning

confidence: 99%

Latent semantic analysis

Dumais

2004

Annual Review Info Sci & Tec

855

346

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“…Review articles on data mining and its application in health and medical information (Bath, 2004;Benoît, 2002) also provide in-depth background for the material presented in this section.…”

Section: Categorymentioning

confidence: 99%