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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 4 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
15 years 11 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
RIAO
2007
15 years 5 months ago
Discriminative Fields for Modeling Semantic Concepts in Video
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
Ming-yu Chen, Alexander G. Hauptmann
ICDM
2003
IEEE
127views Data Mining» more  ICDM 2003»
15 years 9 months ago
A High-Performance Distributed Algorithm for Mining Association Rules
Abstract. We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the fi...
Assaf Schuster, Ran Wolff, Dan Trock
CVPR
2008
IEEE
16 years 6 months ago
Joint data alignment up to (lossy) transformations
Joint data alignment is often regarded as a data simplification process. This idea is powerful and general, but raises two delicate issues. First, one must make sure that the usef...
Andrea Vedaldi, Gregorio Guidi, Stefano Soatto