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{
"item_title" : "Survey of Text Mining",
"item_author" : [" Michael W. Berry "],
"item_description" : "As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. This survey volume draws upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. Reseachers, practitioners, and professionals in information retrieval who need to know the latest text-mining methods and algorithms will find the book an essential resource.",
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Survey of Text Mining : Clustering, Classification, and Retrieval
Overview
As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. This survey volume draws upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. Reseachers, practitioners, and professionals in information retrieval who need to know the latest text-mining methods and algorithms will find the book an essential resource.
This item is Non-Returnable
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Details
- ISBN-13: 9780387955636
- ISBN-10: 0387955631
- Publisher: Springer
- Publish Date: September 2003
- Dimensions: 9.72 x 6.1 x 0.69 inches
- Shipping Weight: 1.12 pounds
- Page Count: 244
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