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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 7 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 1 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
EVOW
2007
Springer
13 years 11 months ago
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms
MicroRNAs (miRNAs) form a large functional family of small noncoding RNAs and play an important role as posttranscriptional regulators, by repressing the translation of mRNAs. Rece...
Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae ...
IPL
2010
93views more  IPL 2010»
13 years 5 months ago
Randomized algorithms for online bounded bidding
In the online bidding problem, a bidder is trying to guess a positive number T, by placing bids until the value of the bid is at least T. The bidder is charged with the sum of the...
Leah Epstein, Asaf Levin
GECCO
1999
Springer
13 years 11 months ago
Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
V. Scott Gordon, Rebecca Pirie, Adam Wachter, Scot...