Syntactic clustering of the Web
Selected papers from the sixth international conference on World Wide Web
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Experimentation as a way of life: Okapi at TREC
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Clustering web documents: a phrase-based method for grouping search engine results
Clustering web documents: a phrase-based method for grouping search engine results
Efficient Phrase-Based Document Indexing for Web Document Clustering
IEEE Transactions on Knowledge and Data Engineering
Detecting phrase-level duplication on the world wide web
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Near-duplicate detection by instance-level constrained clustering
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Deploying Approaches for Pattern Refinement in Text Mining
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Enhancing text clustering by leveraging Wikipedia semantics
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Topic Signature Language Models for Ad hoc Retrieval
IEEE Transactions on Knowledge and Data Engineering
Can phrase indexing help to process non-phrase queries?
Proceedings of the 17th ACM conference on Information and knowledge management
A two-stage text mining model for information filtering
Proceedings of the 17th ACM conference on Information and knowledge management
Foundations and Trends in Databases
Positional language models for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Mining Fuzzy Ontology for a Web-Based Granular Information Retrieval System
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Text clustering based on granular computing and wikipedia
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
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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.