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Text Mining - Srivastava, Ashok N.; Sahami, Mehran
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Srivastava, Ashok N.; Sahami, Mehran:
Text Mining - nouveau livre

2010, ISBN: 9781420059403

ID: 589945

a very good overview of some state-of-the-art capabilities. In summary, the book provides several algorithms for text mining classification, clustering, and applications, including both mathematical background and experimental observations. For readers interested in specific areas, there are several useful references. Researchers can use this book to learn more about today's field of text mining. Computing Reviews , March 2010 Not long ago people were expressing concern about the deluge of information with which we were being faced. Tools such as those described in this book present one way in which we might cope with this deluge. The separate contributions are well written, and there does seem to be a consistency which can only have arisen from sound editorial work . This would be a perfect volume to give a new Ph.D. student about to start work on statistical and data mining methods of text analysis, and perhaps casting about for a particular area of methodology on which to focus, or for a particular application area to address. It provides a first-class overview of the scope of an area which can only grow in importance in the coming years. David J. Hand, International Statistical Review , 2010 This book is a worthy contribution to the field of text mining. By focusing on classification (rather than exhaustively covering extraction, summarization, and other tasks), it achieves the right balance of coherence and comprehensiveness. It collects papers by the leading authors in the field, who employ and explain a variety of techniqueskernel methods, link analysis, latent Dirichlet allocation, non-negative matrix factorization, and others. Together the papers bring unity and clarity to a disjointed and sometimes perplexing field and serve as the perfect introduction for an advanced student. Peter Norvig, Director of Research, Google, Inc., Mountain View, California, USA This is a state-of-the-art, outstanding collection of overviews on text mining by a group of leading researchers in the field. The book meets an imminent need for an up-to-date overview of this exciting, dynamic research frontier and may serve as an excellent textbook on text mining for graduate students and researchers in the field as well. Jiawei Han, University of Illinois at Urbana-Champaign, USA Business Business eBook, CRC Press

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Text Mining: Classification, Clustering, and Applications - Ashok N. Srivastava (Editor), Mehran Sahami (Editor)
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Ashok N. Srivastava (Editor), Mehran Sahami (Editor):
Text Mining: Classification, Clustering, and Applications - nouveau livre

ISBN: 9781420059403

ID: 9781420059403

The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search. The book begins with chapters on the classification of documents into predefined categories. It presents state-of-the-art algorithms and their use in practice. The next chapters describe novel methods for clustering documents into groups that are not predefined. These methods seek to automatically determine topical structures that may exist in a document corpus. The book concludes by discussing various text mining applications that have significant implications for future research and industrial use. There is no doubt that text mining will continue to play a critical role in the development of future information systems and advances in research will be instrumental to their success. This book captures the technical depth and immense practical potential of text mining, guiding readers to a sound appreciation of this burgeoning field. Textbooks New, Books~~Computers~~Databases~~Data Mining, Text-Mining~~Ashok-Srivastava, 999999999, Text Mining: Classification, Clustering, and Applications, Ashok N. Srivastava (Editor), Mehran Sahami (Editor), 1420059408, Taylor & Francis, , , , , Taylor & Francis

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Text Mining - Ashok N. Srivastava
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Ashok N. Srivastava:
Text Mining - edition reliée, livre de poche

ISBN: 9781420059403

Hardback, [PU: Taylor & Francis Ltd], Focuses on statistical methods for text mining and analysis. This work examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search., Data Mining

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Text Mining Classification Clustering and Applications 1st Edition - Ashok Srivastava Mehran Sahami
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Ashok Srivastava Mehran Sahami:
Text Mining Classification Clustering and Applications 1st Edition - nouveau livre

ISBN: 9781420059403

ID: 9781420059403

Text Mining Classification Clustering and Applications 1st Edition Author :Ashok Srivastava Mehran Sahami 9781420059403 1420059408, [PU: CRC Press]

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Text Mining - Ashok N. Srivastava; Mehran Sahami
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Ashok N. Srivastava; Mehran Sahami:
Text Mining - edition reliée, livre de poche

2009, ISBN: 9781420059403

ID: 9172218

Hardcover, Buch, [PU: Chapman & Hall/CRC]

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Détails sur le livre
Text Mining: Classification, Clustering, and Applications

Focuses on statistical methods for text mining and analysis. This work examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search.

Informations détaillées sur le livre - Text Mining: Classification, Clustering, and Applications


EAN (ISBN-13): 9781420059403
ISBN (ISBN-10): 1420059408
Version reliée
Date de parution: 2009
Editeur: CRC PR INC
328 Pages
Poids: 0,598 kg
Langue: eng/Englisch

Livre dans la base de données depuis 02.12.2008 21:44:54
Livre trouvé récemment le 11.01.2017 12:53:54
ISBN/EAN: 9781420059403

ISBN - Autres types d'écriture:
1-4200-5940-8, 978-1-4200-5940-3


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