Text Mining Concepts, Implementation, and Big Data Challenge /

• Κύριος συγγραφέας: Jo, Taeho (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Big Data, 45
• Θέματα: Electrical engineering.; Computational intelligence.; Data mining.; Information storage and retrieval.; Big data.; Communications Engineering, Networks.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Big Data/Analytics.

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...

Πίνακας περιεχομένων:

• 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.