The Text Mining Handbook

Advanced Approaches in Analyzing Unstructured Data

Ronen Feldman, James Sanger

424 pages, parution le 06/02/2007

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Résumé

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection - a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining - also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

The first comprehensive compilation of algorithms, methodologies, practical approaches and applications
Co-authored by one of the founding figures in the field of text mining
Detailed description of core text mining algorithms for identifying patterns such as frequent sets, distributions and proportions and associations

L'auteur - Ronen Feldman

Ronen Feldman : Bar-Ilan University, Israel

L'auteur - James Sanger

James Sanger : ABS Ventures, Boston, Massachusetts

Sommaire

Introduction to text mining
Core text mining operations
Text mining preprocessing techniques
Categorization
Clustering
Information extraction
Probabilistic models for Information extraction
Preprocessing applications using probabilistic and hybrid approaches
Presentation-layer considerations for browsing and query refinement
Visualization approaches
Link analysis
Text mining applications

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Ronen Feldman, James Sanger
Parution	06/02/2007
Nb. de pages	424
Format	18,5 x 26,5
Couverture	Relié
Poids	900g
Intérieur	Noir et Blanc
EAN13	9780521836579