Text mining : concepts, implementation, and big data challenge
By: Jo, Taeho
Material type:
BookSeries: Studies in big data ; Vol. 45.Publisher: Cham : Springer, c2019.Description: xiii, 373 p. : ill. ; 25 cm.ISBN: 9783319918143Subject(s): Communications Engineering, Networks | Computational Intelligence | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Big Data/AnalyticsDDC classification: 006.312 JO TE Online resources: Location Map
Summary:
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.
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 JO TE (Browse shelf) | Available | Jan2019 | T0060848 |
Total holds: 0
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| 006.312 HA DA Data mining : | 006.312 IN TE Integrations of data warehousing, data mining and database technologies : | 006.312 JE DA Data science for business : | 006.312 JO TE Text mining : | 006.312 KH SE Seven layers of social media analytics : | 006.312 LE AD Leading issues in social media research : | 006.312 LE DA Data mining and business analytics with R |
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.