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» Enhanced mining of association rules from data cubes
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 9 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
BMCBI
2006
114views more  BMCBI 2006»
13 years 8 months ago
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background: AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investig...
Qingfeng Chen, Yi-Ping Phoebe Chen
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 5 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
DAWAK
2005
Springer
14 years 2 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
AUSAI
2005
Springer
14 years 2 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb