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TKDE
2002
168views more  TKDE 2002»
14 years 9 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
EOR
2007
96views more  EOR 2007»
14 years 9 months ago
A fast method for discovering critical edge sequences in e-commerce catalogs
Web sites allow the collection of vast amounts of navigational data – clickstreams of user traversals through the site. These massive data stores offer the tantalizing possibil...
Kaushik Dutta, Debra E. VanderMeer, Anindya Datta,...
IJCAI
2001
14 years 11 months ago
Mining Soft-Matching Rules from Textual Data
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
Un Yong Nahm, Raymond J. Mooney
KCAP
2011
ACM
14 years 19 days ago
LinkedDataLens: linked data as a network of networks
With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for a...
Yolanda Gil, Paul T. Groth
INFOCOM
2005
IEEE
15 years 3 months ago
A beacon-less location discovery scheme for wireless sensor networks
— In wireless sensor networks (WSNs), sensor location plays a critical role in many applications. Having a GPS receiver on every sensor node is costly. In the past, a number of l...
Lei Fang, Wenliang Du, Peng Ning