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» A Method of Web Search Result Clustering Based on Rough Sets
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WEBDB
2007
Springer
162views Database» more  WEBDB 2007»
14 years 11 days ago
Term Ranking for Clustering Web Search Results
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
Fatih Gelgi, Hasan Davulcu, Srinivas Vadrevu
IWANN
2011
Springer
12 years 9 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
PRL
2007
180views more  PRL 2007»
13 years 5 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
MM
2004
ACM
151views Multimedia» more  MM 2004»
13 years 11 months ago
Grouping web image search result
In this paper, we propose a Web image search result organizing method to facilitate user browsing. We formalize this problem as a salient image region pattern extraction problem. ...
Xin-Jing Wang, Wei-Ying Ma, Qi-Cai He, Xing Li
ICDE
2008
IEEE
241views Database» more  ICDE 2008»
14 years 7 months ago
PictureBook: A Text-and-Image Summary System for Web Search Result
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfa...
Baile Shi, Guoyu Hao, Hongtao Xu, Mei Wang, Qi Zha...