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» On the Complexity of Mining Association Rules
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BMCBI
2007
167views more  BMCBI 2007»
15 years 6 months ago
Applying negative rule mining to improve genome annotation
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
Irena I. Artamonova, Goar Frishman, Dmitrij Frishm...
ICDM
2003
IEEE
91views Data Mining» more  ICDM 2003»
15 years 11 months ago
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
AIR
2006
107views more  AIR 2006»
15 years 6 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
JSW
2008
99views more  JSW 2008»
15 years 6 months ago
Using Data Mining in MURA Graphic Problems
The MURA phenomenon will result lots of problems in Photomask and TFT-LCD industries as well. In this paper, we designed and developed a MURA related association rules which suitab...
Wen-Hsing Kao, Jason C. Hung, Victoria Hsu
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
16 years 7 days ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche