All Stories

  1. Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering
  2. A Fusion Approach to Computing Distance for Heterogeneous Data
  3. Evolutionary computation for feature selection in classification problems
  4. Experimental evaluation of cluster quality measures
  5. MOEA for clustering
  6. BruteSuppression: a size reduction method for Apriori rule sets
  7. Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification
  8. A Novel Multi-Objective Genetic Algorithm for Clustering
  9. Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering
  10. A multiobjective GRASP for rule selection
  11. A multi-objective GRASP for partial classification
  12. Classification techniques with minimal labelling effort and application to medical reports
  13. Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining
  14. Rule Induction for Classification Using Multi-objective Genetic Programming
  15. Discovery of Classification Rules from Databases
  16. Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules
  17. The Discovery of Interesting Nuggets Using Heuristic Techniques