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» Mining association rules from imprecise ordinal data
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
15 years 3 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
CORR
2010
Springer
94views Education» more  CORR 2010»
14 years 9 months ago
Optimal Bangla Keyboard Layout using Association Rule of Data Mining
In this paper we present an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort. Bangla alphabet...
Md. Hijbul Alam, Abdul Kadar Muhammad Masum, Moham...
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
15 years 1 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar