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DMIN
2006
137views Data Mining» more  DMIN 2006»
15 years 5 months ago
Discovering of Frequent Itemsets with CP-mine Algorithm
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...
Nuansri Denwattana, Yutthana Treewai
FIMI
2004
175views Data Mining» more  FIMI 2004»
15 years 5 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
PR
2010
163views more  PR 2010»
15 years 2 months ago
A comparative evaluation of interactive segmentation algorithms
In this paper we present a comparative evaluation of four popular interactive segmentation algorithms. The evaluation was carried out as a series of user-experiments, in which par...
Kevin McGuinness, Noel E. O'Connor
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 9 months ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef
IROS
2008
IEEE
101views Robotics» more  IROS 2008»
15 years 10 months ago
Spatial macroscopic models of a bio-inspired robotic swarm algorithm
— We present a comparative study of two spatially resolved macroscopic models of an autonomous robotic swarm. In previous experiments, the collective behavior of 15 autonomous sw...
Heiko Hamann, Heinz Wörn, Karl Crailsheim, Th...