Text Mining Concepts, Implementation, and Big Data Challenge /

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text pr...

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Detaylı Bibliyografya
Yazar: Jo, Taeho (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Big Data, 45
Konular:
Telecommunication.
Computational intelligence.
Data mining.
Information storage and retrieval systems.
Quantitative research.
Communications Engineering, Networks.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Data Analysis and Big Data.
Online Erişim:Full-text access
İçindekiler:
  • Part I: Foundation
  • Introduction
  • Text Indexing
  • Text Encoding
  • Text Association
  • Part II: Text Categorization
  • Text Categorization: Conceptual View
  • Text Categorization: Approaches
  • Text Categorization: Implementation
  • Text Categorization: Evaluation
  • Part III: Text Clustering
  • Text Clustering: Conceptual View
  • Text Clustering: Approaches
  • Text Clustering: Implementation
  • Text Clustering: Evaluation
  • Part IV: Advanced Topics
  • Text Summarization
  • Text Segmentation
  • Taxonomy Generation
  • Dynamic Document Organization
  • References
  • Index.

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