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» Growing decision trees on support-less association rules
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ESWA
2008
128views more  ESWA 2008»
13 years 8 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
JCP
2008
174views more  JCP 2008»
13 years 8 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
BTW
1999
Springer
145views Database» more  BTW 1999»
14 years 24 days ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 9 months ago
An inductive database prototype based on virtual mining views
We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over ...
Élisa Fromont, Adriana Prado, Bart Goethals...