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ISNN
2010
Springer
13 years 5 months ago
Pruning Training Samples Using a Supervised Clustering Algorithm
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
Minzhang Huang, Hai Zhao, Bao-Liang Lu
DAC
1994
ACM
13 years 11 months ago
Dynamic Search-Space Pruning Techniques in Path Sensitization
A powerful combinational path sensitization engine is required for the efficient implementation of tools for test pattern generation, timing analysis, and delay fault testing. Path...
João P. Marques Silva, Karem A. Sakallah
ICDE
2000
IEEE
96views Database» more  ICDE 2000»
14 years 8 months ago
Dynamic Miss-Counting Algorithms: Finding Implication and Similarity Rules with Confidence Pruning
Dynamic Miss-Countingalgorithms are proposed, which find all implication and similarity rules with confidence pruning but without support pruning. To handle data sets with a large...
Shinji Fujiwara, Jeffrey D. Ullman, Rajeev Motwani
ACSC
2006
IEEE
14 years 1 months ago
Pruning subscriptions in distributed publish/subscribe systems
Publish/subscribe systems utilize filter algorithms to determine all subscriptions matching incoming event messages. To distribute such services, subscriptions are forwarded to s...
Sven Bittner, Annika Hinze
ICAISC
2010
Springer
13 years 7 months ago
Pruning Classification Rules with Reference Vector Selection Methods
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
Karol Grudzinski, Marek Grochowski, Wlodzislaw Duc...