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» Agent-Enriched Data Mining Using an Extendable Framework
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ICDE
2006
IEEE
95views Database» more  ICDE 2006»
16 years 3 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
WINE
2005
Springer
143views Economy» more  WINE 2005»
15 years 8 months ago
An Analysis of Search Engine Switching Behavior Using Click Streams
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams. We segment users into a number of categories bas...
Yun-Fang Juan, Chi-Chao Chang
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
15 years 9 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 7 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 2 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan