Text Mining

Theoretical Aspects and Applications

Jurgen Franke, Gholamreza Nakhaeizadeh, Ingrid Renz

172 pages, parution le 09/04/2003

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Résumé

Text Mining - Theoretical Aspects and Applications presents contributions from researchers from different disciplines.
Each of them is studying the problem of mining text according to his scientific background: artificial intelligence, computational linguistics, document analysis, machine learning, information retrieval, pattern recognition.
Their common goal is to analyse huge text collections in real world applications in order to support knowledge-intensive processes.

Contents

Text Mining
XML Information Retrieval and Information Extraction
Feature-Rich Memory-Based Classification for Shallow NLP and Information Extraction
Concept Drift and the Importance of Examples
Evaluating Retrieval Performance Using Clickthrough Data
Towards Collaborative Information Retrieval: Three Approaches
The XDOC Document Suite - a Workbench for Document Mining
On Knowledgeable Unsupervised Text Mining
Using Adaptive Information Extraction for Effective Human-Centred Document Annotation

Index

L'auteur - Jurgen Franke

DaimlerChrysler AG, Ulm, Germany

L'auteur - Gholamreza Nakhaeizadeh

DaimlerChrysler AG, Ulm, Germany (Editor)

L'auteur - Ingrid Renz

DaimlerChrysler AG, Ulm, Germany

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Jurgen Franke, Gholamreza Nakhaeizadeh, Ingrid Renz
Parution	09/04/2003
Nb. de pages	172
Format	15,5 x 23,5
Couverture	Broché
Poids	280g
Intérieur	Noir et Blanc
EAN13	9783790800418