Survey of Text Mining II - Paperback

EAN (ISBN-13): 9781849967136
ISBN (ISBN-10): 184996713X
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer-Verlag GmbH
256 Pages
Weight: 0,392 kg
Language: eng/Englisch

Book in our database since 2011-09-19T04:59:46-04:00 (New York)
Detail page last modified on 2023-12-18T07:23:40-05:00 (New York)
ISBN/EAN: 184996713X

ISBN - alternate spelling:
1-84996-713-X, 978-1-84996-713-6
Alternate spelling and related search-keywords:
Book author: berry, castellanos, castell, castellano, castellan
Book title: text mining

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Information from Publisher

Author: Michael W. Berry; Malu Castellanos
Title: Survey of Text Mining II - Clustering, Classification, and Retrieval
Publisher: Springer; Springer London
240 Pages
Publishing year: 2010-10-13
London; GB
Printed / Made in
Weight: 0,454 kg
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XVI, 240 p.

BC; Data Structures and Information Theory; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Anomaly Detection; Augmented Reality; Classification; Document Clustering; Extensible Markup Language (XML); Information Extraction; Information Retrieval; Text Mining; Topic Evolution; algorithms; Natural Language Processing (NLP); Information Storage and Retrieval; Information Systems Applications (incl. Internet); Multimedia Information Systems; Applications of Mathematics; Data Structures and Information Theory; Natural Language Processing (NLP); Information Storage and Retrieval; Computer and Information Systems Applications; Multimedia Information Systems; Applications of Mathematics; Informationstheorie; Natürliche Sprachen und maschinelle Übersetzung; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Angewandte Informatik; Grafische und digitale Media-Anwendungen; Angewandte Mathematik; BB

Clustering.- Cluster-Preserving Dimension Reduction Methods for Document Classification.- Automatic Discovery of SimilarWords.- Principal Direction Divisive Partitioning with Kernels and k-Means Steering.- Hybrid Clustering with Divergences.- Text Clustering with Local Semantic Kernels.- Document Retrieval and Representation.- Vector Space Models for Search and Cluster Mining.- Applications of Semidefinite Programming in XML Document Classification.- Email Surveillance and Filtering.- Discussion Tracking in Enron Email Using PARAFAC.- Spam Filtering Based on Latent Semantic Indexing.- Anomaly Detection.- A Probabilistic Model for Fast and Confident Categorization of Textual Documents.- Anomaly Detection Using Nonnegative Matrix Factorization.- Document Representation and Quality of Text: An Analysis.