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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 7 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 7 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
202
Voted
HICSS
2010
IEEE
237views Biometrics» more  HICSS 2010»
16 years 1 months ago
Data Aggregation and Analysis for Cancer Statistics - A Visual Analytics Approach
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...
213
Voted
FC
2009
Springer
150views Cryptology» more  FC 2009»
16 years 1 months ago
Privacy-Preserving Information Markets for Computing Statistical Data
Abstract. Consider an “information market” where private and potentially sensitive data are collected, treated as commodity and processed into aggregated information with comme...
Aggelos Kiayias, Bülent Yener, Moti Yung
BMCBI
2006
124views more  BMCBI 2006»
15 years 7 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...