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BMCBI
2006
169views more  BMCBI 2006»
15 years 6 months ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 7 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
15 years 12 months ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
15 years 12 months ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
15 years 11 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin