Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. 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. Knowledge extraction or creation from ...
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Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. 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. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.
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Add this copy of Survey of Text Mining: Clustering, Classification, and to cart. $139.97, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2011 by Springer-Verlag New York Inc..
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New. 244 p. 42 Tables, black and white; 46 Illustrations, black and white; XVII, 244 p. 46 illus.; 42 Tables, black and white; 46 Illustrations, black and white; XVII, 244 p. 46 illus. Intended for professional and scholarly audience.
Add this copy of Survey of Text Mining: Clustering, Classification, and to cart. $1.99, like new condition, Sold by ThriftBooks-Dallas rated 4.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2003 by Springer.
Add this copy of Survey of Text Mining: Clustering, Classification, and to cart. $1.99, good condition, Sold by ThriftBooks-Dallas rated 4.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2003 by Springer.
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Add this copy of Survey of Text Mining: Clustering, Classification, and to cart. $7.00, very good condition, Sold by Cortezhill Books rated 5.0 out of 5 stars, ships from San Diego, CA, UNITED STATES, published 2003 by Springer.
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Very good. binding good. minor cover and edge wear. no marks on text. 244 pages. 9 1/2" x 6 1/4". As the volume of digitized textual information continues to grow, so does the critical need for designing robust and scalable indexing and search strategies/software to meet a variety of user needs. Knowledge extraction or creation from text requires systematic, yet reliable processing that can be codified and adapted for changing needs and environments. Survey of Text Mining is a comprehensive edited survey organized into three parts: Clustering and Classification; Information Extraction and Retrieval; and Trend Detection. Many of the chapters stress the practical application of software and algorithms for current and future needs in text mining. Authors from industry provide their perspectives on current approaches for large-scale text mining and obstacles that will guide R&D activity in this area for the next decade. Topics and features: Highlights issues such as scalability, robustness, and software tools; Brings together recent research and techniques from academia and industry; Examines algorithmic advances in discriminant analysis, spectral clustering, trend detection, and synonym extraction; Includes case studies in mining Web and customer-support logs for hot-topic extraction and query characterizations; Extensive bibliography of all references, including websites. This useful survey volume taps the expertise of academicians and industry professionals to recommend practical approaches to purifying, indexing, and mining textual information. Researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining, who need the latest text-mining methods and algorithms, will find the book an indispensable resource.
Add this copy of Survey of Text Mining: Clustering, Classification, and to cart. $10.99, good condition, Sold by Phatpocket Limited rated 4.0 out of 5 stars, ships from Waltham Abbey, ESSEX, UNITED KINGDOM, published 2003 by Springer.
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Good. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry.
Add this copy of Survey of Text Mining to cart. $28.18, new condition, Sold by Media Smart rated 3.0 out of 5 stars, ships from Hawthorne, CA, UNITED STATES, published 2003 by Springer.
