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Survey of Text Mining II. - Berry (Hrsg.), Michael W. and Manu Castellanos (Hrsg.)
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Berry (Hrsg.), Michael W. and Manu Castellanos (Hrsg.):

Survey of Text Mining II. - hardcover

2008, ISBN: 9781848000452

VIII + 240 S. Gr.-8° Groß-Oktav, Hardcover/Pappeinband Clustering, Classification, and Retrieval. Auf dem Hinterdeckel befindet sich ein altes Bibliotheksetikett. Das untere Kapital ist b… More...

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Michael W. Berry:

Survey of Text Mining II: Clustering, Classification, and Retrieval - hardcover

ISBN: 9781848000452

Hardback. New. This Second Edition explores the field of text mining. Coverage includes the use of machine learning in conjunction with natural language processing, information extractio… More...

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Michael W. Berry:
Survey of Text Mining II: Clustering, Classification, and Retrieval - hardcover

2008

ISBN: 1848000456

[EAN: 9781848000452], Neubuch, [PU: Springer London Ltd], This item is printed on demand. New copy - Usually dispatched within 5-9 working days, Books

NEW BOOK. Shipping costs: EUR 8.08 THE SAINT BOOKSTORE, Southport, United Kingdom [51194787] [Rating: 5 (von 5)]
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Michael W. Berry:
Survey of Text Mining II : Clustering; Classification; and Retrieval - hardcover

2008, ISBN: 1848000456

[EAN: 9781848000452], Neubuch, [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books

NEW BOOK. Shipping costs: EUR 4.63 Ria Christie Collections, Uxbridge, United Kingdom [59718070] [Rating: 5 (von 5)]
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Michael W. Berry, Malu Castellanos,:
Survey Of Text Mining Ii - hardcover

2007, ISBN: 9781848000452

springer, 2007. Hardcover. New. Brand New and Fast Delivery, springer, 2007, 6

IND - IndiaShipping costs: EUR 3.76 V. M. BOOKS
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Details of the book
Survey of Text Mining II
Author:
Title:
ISBN:

9781848000452


The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully structured textual data has become important in both academia and industry.This 2nd edition surveys the emerging field of Text Mining - the application of techniques of machine learning in conjunction with natural language processing, information extraction and algebraic/mathematical approaches to computational information retrieval. Many issues are addressed, ranging from the development of new learning approaches to the parallelization of existing algorithms.Presenting a comprehensive selection of topics within the field to generate both interest and insight into the state of Text Mining, this book will be an indispensable resource for researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining.

Details of the book - Survey of Text Mining II


EAN (ISBN-13): 9781848000452
ISBN (ISBN-10): 1848000456
Hardcover
Publishing year: 2008
Publisher: Springer-Verlag GmbH
240 Pages
Weight: 0,555 kg
Language: eng/Englisch

Book in our database since 2007-10-17T03:47:24-04:00 (New York)
Detail page last modified on 2023-12-18T07:23:40-05:00 (New York)
ISBN/EAN: 9781848000452

ISBN - alternate spelling:
1-84800-045-6, 978-1-84800-045-2
Alternate spelling and related search-keywords:
Book author: castellanos, berry, castellano, castellan, manu
Book title: retrieval, survey, classification, text mining, berry

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: 2008-03-11
London; GB
Printed / Made in
Weight: 1,200 kg
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XVI, 240 p.

BB; 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; BC; EA

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.
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