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» Graph Clustering for Keyword Search
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WWW
2004
ACM
14 years 8 months ago
A hierarchical monothetic document clustering algorithm for summarization and browsing search results
Organizing Web search results into a hierarchy of topics and subtopics facilitates browsing the collection and locating results of interest. In this paper, we propose a new hierar...
Krishna Kummamuru, Rohit Lotlikar, Shourya Roy, Ka...
BMCBI
2011
12 years 11 months ago
RAG: An Update to the RNA-As-Graphs Resource
Background: In 2004, we presented a web resource for stimulating the search for novel RNAs, RNA-As-Graphs (RAG), which classified, catalogued, and predicted RNA secondary structur...
Joseph A. Izzo, Namhee Kim, Shereef Elmetwaly, Tam...
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 8 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
EMNLP
2010
13 years 5 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar
DEXAW
2010
IEEE
231views Database» more  DEXAW 2010»
13 years 9 months ago
Extracting User Interests from Search Query Logs: A Clustering Approach
-- This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semant...
Lyes Limam, David Coquil, Harald Kosch, Lionel Bru...