Text Mining: Applications and Theory

ISBN 13: 9780470749821

Text Mining: Applications and Theory

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9780470749821: Text Mining: Applications and Theory

Book by Bennett Matthew M Glasser Neil F

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"It is extremely useful for practitioners and students in computer science, natural language processing, bioinformatics and engineering who wish to use text mining techniques." (Journal of Information Retrieval, 1 April 2011)

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Text Mining: Applications and Theory presents thestate-of-the-art algorithms for text mining from both the academicand industrial perspectives. The contributors span severalcountries and scientific domains: universities, industrialcorporations, and government laboratories, and demonstrate the useof techniques from machine learning, knowledge discovery, naturallanguage processing and information retrieval to designcomputational models for automated text analysis and mining.

This volume demonstrates how advancements in the fields ofapplied mathematics, computer science, machine learning, andnatural language processing can collectively capture, classify, andinterpret words and their contexts. As suggested in thepreface, text mining is needed when words are notenough.

This book: * Provides state-of-the-art algorithms and techniques forcritical tasks in text mining applications, such as clustering,classification, anomaly and trend detection, and streamanalysis. * Presents a survey of text visualization techniques and looks atthe multilingual text classification problem. * Discusses the issue of cybercrime associated withchatrooms. * Features advances in visual analytics and machine learningalong with illustrative examples. * Is accompanied by a supporting website featuring datasets.

Applied mathematicians, statisticians, practitioners andstudents in computer science, bioinformatics and engineering willfind this book extremely useful.

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Editorial: John Wiley and Sons Ltd, United States (2010)
ISBN 10: 0470749822 ISBN 13: 9780470749821
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Descripción John Wiley and Sons Ltd, United States, 2010. Hardback. Estado de conservación: New. 232 x 158 mm. Language: English . Brand New Book. Text Mining: Applications and Theory presents thestate-of-the-art algorithms for text mining from both the academicand industrial perspectives. The contributors span severalcountries and scientific domains: universities, industrialcorporations, and government laboratories, and demonstrate the useof techniques from machine learning, knowledge discovery, naturallanguage processing and information retrieval to designcomputational models for automated text analysis and mining. This volume demonstrates how advancements in the fields ofapplied mathematics, computer science, machine learning, andnatural language processing can collectively capture, classify, andinterpret words and their contexts. As suggested in thepreface, text mining is needed when words are notenough. This book: * Provides state-of-the-art algorithms and techniques forcritical tasks in text mining applications, such as clustering,classification, anomaly and trend detection, and streamanalysis. * Presents a survey of text visualization techniques and looks atthe multilingual text classification problem. * Discusses the issue of cybercrime associated withchatrooms. * Features advances in visual analytics and machine learningalong with illustrative examples. * Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners andstudents in computer science, bioinformatics and engineering willfind this book extremely useful. Nº de ref. de la librería AAH9780470749821

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Descripción Wileyand#8211;Blackwell, 2010. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780470749821

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Editorial: John Wiley and Sons Ltd, United States (2010)
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Descripción John Wiley and Sons Ltd, United States, 2010. Hardback. Estado de conservación: New. 232 x 158 mm. Language: English . Brand New Book. Text Mining: Applications and Theory presents thestate-of-the-art algorithms for text mining from both the academicand industrial perspectives. The contributors span severalcountries and scientific domains: universities, industrialcorporations, and government laboratories, and demonstrate the useof techniques from machine learning, knowledge discovery, naturallanguage processing and information retrieval to designcomputational models for automated text analysis and mining. This volume demonstrates how advancements in the fields ofapplied mathematics, computer science, machine learning, andnatural language processing can collectively capture, classify, andinterpret words and their contexts. As suggested in thepreface, text mining is needed when words are notenough. This book: * Provides state-of-the-art algorithms and techniques forcritical tasks in text mining applications, such as clustering,classification, anomaly and trend detection, and streamanalysis. * Presents a survey of text visualization techniques and looks atthe multilingual text classification problem. * Discusses the issue of cybercrime associated withchatrooms. * Features advances in visual analytics and machine learningalong with illustrative examples. * Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners andstudents in computer science, bioinformatics and engineering willfind this book extremely useful. Nº de ref. de la librería AAH9780470749821

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Michael J. A. Berry (University of Tennessee, USA); Jacob Kogan (University of Maryland Baltimore County)
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Descripción John Wiley and Sons. Estado de conservación: New. Brand New. Nº de ref. de la librería 0470749822

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Descripción Wiley, 2010. Hardcover. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0470749822

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Descripción 2010. Hardback. Estado de conservación: NEW. 9780470749821 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0774776

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Descripción Wiley, 2010. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0470749822

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Descripción WileyBlackwell, 2010. Hardcover. Estado de conservación: Brand New. 1st edition. 222 pages. 9.25x6.50x0.75 inches. In Stock. Nº de ref. de la librería __0470749822

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Descripción John Wiley and Sons Ltd, United States, 2010. Hardback. Estado de conservación: New. 232 x 158 mm. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Text Mining: Applications and Theory presents thestate-of-the-art algorithms for text mining from both the academicand industrial perspectives. The contributors span severalcountries and scientific domains: universities, industrialcorporations, and government laboratories, and demonstrate the useof techniques from machine learning, knowledge discovery, naturallanguage processing and information retrieval to designcomputational models for automated text analysis and mining. This volume demonstrates how advancements in the fields ofapplied mathematics, computer science, machine learning, andnatural language processing can collectively capture, classify, andinterpret words and their contexts. As suggested in thepreface, text mining is needed when words are notenough. This book: * Provides state-of-the-art algorithms and techniques forcritical tasks in text mining applications, such as clustering,classification, anomaly and trend detection, and streamanalysis. * Presents a survey of text visualization techniques and looks atthe multilingual text classification problem. * Discusses the issue of cybercrime associated withchatrooms. * Features advances in visual analytics and machine learningalong with illustrative examples. * Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners andstudents in computer science, bioinformatics and engineering willfind this book extremely useful. Nº de ref. de la librería BZV9780470749821

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Descripción Wiley. Hardcover. Estado de conservación: New. 0470749822 New Condition. Nº de ref. de la librería NEW6.0243443

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