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» Association Schemoids and Their Categories
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126
Voted
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 1 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
83
Voted
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 1 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
118
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 1 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
16 years 1 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
144
Voted
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 1 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel