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Añadir al carritoCondición: New. pp. xiv + 207 Illus.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Añadir al carritoCondición: New. Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. Editor(s): Berry, Michael W.; Kogan, Jacob. Num Pages: 222 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 18. Weight in Grams: 454. . 2010. 1st Edition. Hardcover. . . . .
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Añadir al carritoCondición: New. Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. Editor(s): Berry, Michael W.; Kogan, Jacob. Num Pages: 222 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 18. Weight in Grams: 454. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritoGebunden. Condición: New. Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and gove.
Idioma: Inglés
Publicado por John Wiley & Sons Mär 2010, 2010
ISBN 10: 0470749822 ISBN 13: 9780470749821
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 124,01
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Añadir al carritoBuch. Condición: Neu. Neuware - Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when 'words are not enough.' This book: - Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis. - Presents a survey of text visualization techniques and looks at the multilingual text classification problem. - Discusses the issue of cybercrime associated with chatrooms. - Features advances in visual analytics and machine learning along with illustrative examples. - Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 120,33
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 222 pages. 9.25x6.50x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2010
ISBN 10: 0470749822 ISBN 13: 9780470749821
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición Impresión bajo demanda
EUR 97,05
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Añadir al carritoHardcover. Condición: new. Hardcover. Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when words are not enough. This book: Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis.Presents a survey of text visualization techniques and looks at the multilingual text classification problem.Discusses the issue of cybercrime associated with chatrooms.Features advances in visual analytics and machine learning along with illustrative examples.Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful. Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.