Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
-
Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework
Z Zhu, YS Ong, M Dash. Cited by 443
-
Memetic Algorithms for Feature Selection on Microarray Data
Z Zhu, YS Ong. Cited by 22
-
Identifying active subgroups in online communities
A Chin, M Chignell. Cited by 9
-
Aggregation Pheromone Density Based Clustering
M Kothari, S Ghosh, AK Ghosh. Cited by 7
-
Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation
YS Ong, Z Zhou, D Lim. Cited by 60
-
Classification of extended control chart patterns: a neural networks approach
B Watanapa, JH Chan. Cited by 1
-
A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets
J Lertbantanawong, JH Chan
-
Comparison of multi-modal optimization algorithms based on evolutionary algorithms
G Singh, K Deb. Cited by 176
-
Reservoir Characterization Using Support Vector Machines
KW Wong, CC Fung, YS Ong, TD Gedeon. Cited by 34
-
Discovery Association Rules in Time Series Data
K Warasup, C Nukoolkit. Cited by 4
-
Local Support Vector Regression for Financial Time Series Prediction
K Huang, H Yang, I King, MRT Lyu. Cited by 12
-
Experimental condition selection in whole-genome functional classification
Z Zhu, YS Ong, K Wong, KT Scow. Cited by 4