Text Mining: Predictive Methods for Analyzing Unstructured Information

Weiss, Sholom M.

ISBN 10: 0387954333 / ISBN 13: 9780387954332

Edité par Springer, 2004

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Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. N° de réf. du vendeur wbs2550883341

Détails bibliographiques

Titre : Text Mining: Predictive Methods for ...

Éditeur : Springer

Date d'édition : 2004

Reliure : Couverture rigide

Etat : Like New

A propos de ce titre

Synopsis :

Text mining searches for regularities, patterns or trends in natural language text. Inspired by data mining, which discovers major patterns from highly structured databases, text mining aims to extract useful knowledge from unstructured text. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. This authoritative and highly accessible text/reference, written by a team of authorities on text mining, develops the foundation concepts, principles, and methods needed to expand beyond structured, numeric data to automated mining of text samples. Researchers, computer scientists, and advanced undergraduates and graduates with work and interests in data mining, machine learning, databases, and computational linguistics will find the work an essential resource.