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» Engineering graph clustering: Models and experimental evalua...
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2009
ACM
16 years 22 days ago
Evaluating use of data flow systems for large graph analysis
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
Andy Yoo, Ian Kaplan
SIGIR
2004
ACM
15 years 11 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
WWW
2008
ACM
16 years 6 months ago
Sailer: an effective search engine for unified retrieval of heterogeneous xml and web documents
This paper studies the problem of unified ranked retrieval of heterogeneous XML documents and Web data. We propose an effective search engine called Sailer to adaptively and versa...
Guoliang Li, Jianhua Feng, Jianyong Wang, Xiaoming...
CLUSTER
2006
IEEE
16 years 8 hour ago
MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...
Timothy D. R. Hartley, Ümit V. Çataly&...
RIAO
2007
15 years 7 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss