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CIKM
2010
Springer
14 years 8 months ago
Identifying hotspots on the real-time web
We study the problem of automatically identifying“hotspots” on the real-time web. Concretely, we propose to identify highly-dynamic ad-hoc collections of users – what we ref...
Krishna Yeswanth Kamath, James Caverlee
AI
2009
Springer
15 years 4 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
15 years 3 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
83
Voted
LREC
2008
120views Education» more  LREC 2008»
14 years 11 months ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki
CSE
2009
IEEE
15 years 4 months ago
Real World Routing Using Virtual World Information
—In this paper, we propose to leverage social graphs from Online Social Networks (OSN) to improve the forwarding efficiency of mobile networks, more particularly Delay Tolerant ...
Pan Hui, Nishanth R. Sastry