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» Evaluation of Sampling for Data Mining of Association Rules
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93
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BMCBI
2010
115views more  BMCBI 2010»
15 years 22 days ago
CONAN: copy number variation analysis software for genome-wide association studies
Background: Genome-wide association studies (GWAS) based on single nucleotide polymorphisms (SNPs) revolutionized our perception of the genetic regulation of complex traits and di...
Lukas Forer, Sebastian Schönherr, Hansi Wei&s...
BMCBI
2008
129views more  BMCBI 2008»
15 years 22 days ago
Gene set enrichment analysis for non-monotone association and multiple experimental categories
Background: Recently, microarray data analyses using functional pathway information, e.g., gene set enrichment analysis (GSEA) and significance analysis of function and expression...
Rongheng Lin, Shuangshuang Dai, Richard D. Irwin, ...
94
Voted
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
15 years 2 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 1 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 5 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...