Text Mining: Applications and Theory - Rilegato

Berry, Michael W.; Kogan, Jacob

Rilegato

ISBN 10: 0470749822 ISBN 13: 9780470749821

Casa editrice: John Wiley & Sons Inc, 2010

Riassunto

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.

Su questo libro

Informazioni sull?autore

Michael W. Berry, Professor and Associate Department Head, Department of Electrical Engineering and Computer Science, University of Tennessee.
Michael is on the Editorial board of Computing in Science and Engineering and Statistical Analysis and Data Mining Journals.

Jacob Kogan, Department of Mathematics and Statistics, University of Maryland Baltimore County, USA.

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.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 0470749822
• ISBN 13: 9780470749821
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 207
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile