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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. - encadernada, livro de bolso

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… mais…

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Michael W. Berry:

Survey of Text Mining II: Clustering, Classification, and Retrieval - encadernada, livro de bolso

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… mais…

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Michael W. Berry:
Survey of Text Mining II: Clustering, Classification, and Retrieval - encadernada, livro de bolso

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

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Michael W. Berry:
Survey of Text Mining II : Clustering; Classification; and Retrieval - encadernada, livro de bolso

2008, ISBN: 1848000456

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

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Michael W. Berry, Malu Castellanos,:
Survey Of Text Mining Ii - encadernada, livro de bolso

2007, ISBN: 9781848000452

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

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Survey of Text Mining II

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.

Dados detalhados do livro - Survey of Text Mining II


EAN (ISBN-13): 9781848000452
ISBN (ISBN-10): 1848000456
Livro de capa dura
Ano de publicação: 2008
Editor/Editora: Springer-Verlag GmbH
240 Páginas
Peso: 0,555 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-10-17T05:47:24-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-12-18T09:23:40-03:00 (Sao Paulo)
Número ISBN/EAN: 9781848000452

Número ISBN - Ortografia alternativa:
1-84800-045-6, 978-1-84800-045-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: castellanos, berry, castellano, castellan, manu
Título do livro: retrieval, survey, classification, text mining, berry


Dados da editora

Autor: Michael W. Berry; Malu Castellanos
Título: Survey of Text Mining II - Clustering, Classification, and Retrieval
Editora: Springer; Springer London
240 Páginas
Ano de publicação: 2008-03-11
London; GB
Impresso / Feito em
Peso: 1,200 kg
Língua: Inglês
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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