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» Numbers in Multi-relational Data Mining
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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 6 days ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
AUSDM
2006
Springer
93views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Visualisation and Exploration of Scientific Data Using Graphs
Abstract. We present a prototype application for graph-based data exploration and mining, with particular emphasis on scientific data. The application has a Flash-based graphical i...
Ben Raymond, Lee Belbin
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 6 days ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
PKDD
2004
Springer
113views Data Mining» more  PKDD 2004»
15 years 5 months ago
Discovery of Regulatory Connections in Microarray Data
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
BMCBI
2008
121views more  BMCBI 2008»
14 years 12 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...