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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
ISCI
2008
166views more  ISCI 2008»
13 years 8 months ago
Incremental and interactive mining of web traversal patterns
Web mining involves the application of data mining techniques to large amounts of web-related data in order to improve web services. Web traversal pattern mining involves discover...
Yue-Shi Lee, Show-Jane Yen
WWW
2010
ACM
14 years 2 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
ICIAP
2003
ACM
14 years 8 months ago
A statistical rationalisation of Hartley's normalised eight-point algorithm
The eight-point algorithm of Hartley occupies an important place in computer vision, notably as a means of providing an initial value of the fundamental matrix for use in iterativ...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...