Algorithms for clustering data
Algorithms for clustering data
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering
Proceedings of the the seventh ACM conference on Hypertext
Life, death, and lawfulness on the electronic frontier
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Syntactic clustering of the Web
Selected papers from the sixth international conference on World Wide Web
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Use Link-Based Clustering to Improve Web Search Results
WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
A personalized search engine based on web-snippet hierarchical clustering
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Classifying search engine queries using the web as background knowledge
ACM SIGKDD Explorations Newsletter
A personalized search engine based on Web-snippet hierarchical clustering
Software—Practice & Experience
Improving density-based methods for hierarchical clustering of web pages
Data & Knowledge Engineering
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Density link-based methods for clustering web pages
Decision Support Systems
A new approach in dynamic prediction for user based web page crawling
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A unified representation of web logs for mining applications
Information Retrieval
PROBABILISTIC HEURISTICS FOR HIERARCHICAL WEB DATA CLUSTERING
Computational Intelligence
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Clustering is currently one of the most crucial techniques for dealing (e.g. resources locating, information interpreting) with massive amount of heterogeneous information on the web, which is beyond human being's capacity to digest. In this paper, we discuss the shortcomings of pervious approaches and present a unifying clustering algorithm to cluster web search results for a specific query topic by combining link and contents information. Especially, we investigate how to combine link and contents analysis in clustering process to improve the quality and interpretation of web search results .The proposed approach automatically clusters the web search results into high quality, semantically meaningful groups in a concise, easy-to-interpret hierarchy with tagging terms. Preliminary experiments and evaluations are conducted and the experimental results show that the proposed approach is effective and promising. Keywords: co-citation, coupling, anchor window, snippet