Association rule centric clustering of web search results

dc.contributor.author	Kommanti, Hima Bindu
dc.contributor.author	Raghavendra Rao, Chillarige
dc.date.accessioned	2022-03-27T05:59:44Z
dc.date.available	2022-03-27T05:59:44Z
dc.date.issued	2011-12-26
dc.description.abstract	Information abundance induced due to the ambiguous queries demands soft computing strategies. This problem can be addressed by Search Results Clustering. This paper presents a novel approach to the web search results clustering based on association rules using the Snowball technique. Association rule mining is employed on terms extracted from title and snippet of the search results. The detailed algorithm and experimental results on data sets of ambiguous queries are presented. © 2011 Springer-Verlag.
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.7080 LNAI
dc.identifier.issn	03029743
dc.identifier.uri	10.1007/978-3-642-25725-4_14
dc.identifier.uri	http://link.springer.com/10.1007/978-3-642-25725-4_14
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/9046
dc.subject	association rules
dc.subject	Search results clustering
dc.subject	Snowball technique
dc.subject	web mining
dc.title	Association rule centric clustering of web search results
dc.type	Book Series. Conference Paper
dspace.entity.type

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