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» Evaluation of Sampling for Data Mining of Association Rules
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93
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AMC
2008
87views more  AMC 2008»
15 years 23 days ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer
CIB
2002
100views more  CIB 2002»
15 years 13 days ago
Web-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
Qiang Yang, Hui Wang, Wei Zhang
ESWA
2002
134views more  ESWA 2002»
15 years 13 days ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
102
Voted
CVPR
2007
IEEE
15 years 7 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
91
Voted
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 4 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki