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» Mining Spatial Gene Expression Data for Association Rules
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JBI
2007
138views Bioinformatics» more  JBI 2007»
13 years 7 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
JCP
2008
174views more  JCP 2008»
13 years 7 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
14 years 24 days ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
HICSS
2007
IEEE
176views Biometrics» more  HICSS 2007»
14 years 1 months ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
David L. Olson, Yanhong Li
ICTAI
2002
IEEE
14 years 12 days ago
A Tool for Extracting XML Association Rules
The recent success of XML as a standard to represent semi-structured data, and the increasing amount of available XML data, pose new challenges to the data mining community. In th...
Daniele Braga, Alessandro Campi, Stefano Ceri, Mik...