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» Evaluation of Sampling for Data Mining of Association Rules
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113
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ISCI
2007
99views more  ISCI 2007»
15 years 18 days ago
Privacy-preserving algorithms for distributed mining of frequent itemsets
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
Sheng Zhong
89
Voted
BIBE
2007
IEEE
176views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
HICCUP: Hierarchical Clustering Based Value Imputation using Heterogeneous Gene Expression Microarray Datasets
Abstract—A novel microarray value imputation method, HICCUP1 , is presented. HICCUP improves upon existing value imputation methods in the several ways. (1) By judiciously integr...
Qiankun Zhao, Prasenjit Mitra, Dongwon Lee, Jaewoo...
KDD
2000
ACM
162views Data Mining» more  KDD 2000»
15 years 4 months ago
Data Mining from Functional Brain Images
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, H...
99
Voted
BMCBI
2008
127views more  BMCBI 2008»
15 years 24 days ago
MetaMine - A tool to detect and analyse gene patterns in their environmental context
Background: Modern sequencing technologies allow rapid sequencing and bioinformatic analysis of genomes and metagenomes. With every new sequencing project a vast number of new pro...
Uta Bohnebeck, Thierry Lombardot, Renzo Kottmann, ...
BMCBI
2010
106views more  BMCBI 2010»
15 years 24 days ago
A novel approach for haplotype-based association analysis using family data
Background: Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide mor...
Yixuan Chen, Xin Li, Jing Li