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» Mining Frequent Itemsets Using Genetic Algorithm
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BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
74
Voted
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
15 years 10 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
FPL
2004
Springer
94views Hardware» more  FPL 2004»
15 years 3 months ago
Evaluating Fault Emulation on FPGA
Abstract. We present an evaluation of accelerating fault simulation by hardware emulation on FPGA. Fault simulation is an important subtask in test pattern generation and it is fre...
Peeter Ellervee, Jaan Raik, Valentin Tihhomirov, K...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
92
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
14 years 11 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis