Granular computing for text mining : New research challenges and opportunities

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

4 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationRough Sets, Fuzzy Sets, Data Mining and Granular Computing
Subtitle of host publication12th International Conference, RSFDGrC 2009, Proceedings
PublisherSpringer Verlag
Pages478-485
Volume5908 LNAI
ISBN (print)3642106455, 9783642106453
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5908 LNAI
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Title12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009
PlaceIndia
CityDelhi
Period15 - 18 December 2009

Abstract

As an emerging computational methodology, granular computing provides an effective strategy for solving many real world problems such as mining latent relationships from text. This paper examines the relationship between granular computing and text mining from a theoretical perspective. Firstly, we analyzes the granular structure of text data which is the key step for textual data representation. Secondly, some granule-based computational methods are described, especially on term-document and document-document similarity calculations. Finally, we highlight several potential research areas where the performance of text mining could be enhanced by applying the concepts of granular computing. © 2009 Springer-Verlag Berlin Heidelberg.

Citation Format(s)

Granular computing for text mining: New research challenges and opportunities. / Jing, Liping; Lau, Raymond Y. K.
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 12th International Conference, RSFDGrC 2009, Proceedings. Vol. 5908 LNAI Springer Verlag, 2009. p. 478-485 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5908 LNAI).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review