Téléchargez le livre : Text Mining

Text Mining

Applications and Theory de

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Éditeur :

Wiley


Paru le : 2010-02-25

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Description
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.
Pages
224 pages
Collection
n.c
Parution
2010-02-25
Marque
Wiley
EAN papier
9780470749821
EAN PDF
9780470689653
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
224
Taille du fichier
2570 Ko
Prix
92,79 €

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