Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective
DK Saxena, K Deb. Cited by 28
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Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel
H Yang, K Huang, I King, MRT Lyu. Cited by 3
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Aggregation pheromone density based data clustering
AK Ghosh, A Halder, M Kothari, S Ghosh. Cited by 69
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A Fuzzy Approach for Personalized Product Clustering with Flexible Discriminating Power
B Watanapa, S Watanapa
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A Multi-Objective Memetic Algorithm Based Clustering Method.
AD Do, S Cho, YS Ong. Cited by 1
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A Review of Nadir Point Estimation Procedures Using Evolutionary Approaches: A Tale of Dimensionality Reduction
K Deb, K Miettinen. Cited by 16
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Feature Selection Based on Minimum Error Minimax Probability Machine
Z Xu, I King, MRT Lyu. Cited by 8
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A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data
AP Anand, PN Suganthan, K Deb. Cited by 5
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Effective missing data prediction for collaborative filtering
H Ma, I King, MRT Lyu. Cited by 428
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Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding
DK Saxena, K Deb. Cited by 116
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Web page classification with heterogeneous data fusion
Z Xu, I King, MRT Lyu. Cited by 24
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An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies
F Neri, J Toivanen, GL Cascella, YS Ong. Cited by 120