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» Mining for Useful Association Rules Using the ATMS
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ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
15 years 10 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
135
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ICCS
1997
Springer
15 years 7 months ago
Uncovering the Conceptual Models in Ripple Down Rules
: The need for analysis and modeling of knowledge has been espoused by many researchers as a prerequisite to building knowledge based systems (KBS). This approach has done little t...
Debbie Richards, Paul Compton
114
Voted
JIB
2010
149views more  JIB 2010»
14 years 10 months ago
Visualization and Analysis of a Cardio Vascular Disease- and MUPP1-related Biological Network combining Text Mining and Data War
t techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships....
Björn Sommer, Evgeny S. Tiys, Benjamin Kormei...
BMCBI
2004
135views more  BMCBI 2004»
15 years 3 months ago
Determination of the differentially expressed genes in microarray experiments using local FDR
Background: Thousands of genes in a genomewide data set are tested against some null hypothesis, for detecting differentially expressed genes in microarray experiments. The expect...
Julie Aubert, Avner Bar-Hen, Jean-Jacques Daudin, ...
151
Voted
JBI
2007
138views Bioinformatics» more  JBI 2007»
15 years 3 months ago
Towards knowledge-based gene expression data mining
ct 10 The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at 11 complementing microarray analysis with...
Riccardo Bellazzi, Blaz Zupan