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PR
2006
80views more  PR 2006»
15 years 2 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
AMC
2008
87views more  AMC 2008»
15 years 2 months 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
108
Voted
CIMCA
2005
IEEE
15 years 8 months ago
Improving Rule Generation Precision for Domain Knowledge based Wrappers
Wrappers play an important role in extracting specified information from various sources. Wrapper rules by which information is extracted are often created from the domain-specifi...
Chang-Hoo Jeong, Sung-Jin Jhun, Myung-Eun Lim, Sun...
130
Voted
CSSE
2008
IEEE
15 years 4 months ago
The Design and Implementation of Ontology and Rules Based Knowledge Base for Transportation
: The traditional transportation information inquiry mainly uses key words based on the text, and the service the inquiry system provided is onefold and only aims at one transporti...
Gang Cheng, Qingyun Du, Hongli Ma
DMIN
2006
144views Data Mining» more  DMIN 2006»
15 years 3 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan