Buch, Englisch, Band 45, 373 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g
Reihe: Studies in Big Data
Concepts, Implementation, and Big Data Challenge
Buch, Englisch, Band 45, 373 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g
Reihe: Studies in Big Data
ISBN: 978-3-030-06302-3
Verlag: Springer International Publishing
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 preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.