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» Data Mining for Genetics: A Genetic Algorithm Approach
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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 2 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
KDD
2002
ACM
112views Data Mining» more  KDD 2002»
16 years 5 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
16 years 5 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
IPPS
2002
IEEE
15 years 9 months ago
Parallel Genehunter: Implementation of a Linkage Analysis Package for Distributed-Memory Architectures
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees. The algorithm effectively distributes both the computa...
Gavin C. Conant, Steve Plimpton, William Old, Andr...
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 10 months ago
Evolutionary Drug Scheduling Model for Cancer Chemotherapy
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok