All Stories

  1. An Integrated Approach for Shift Scheduling and Rostering Problems with Break Times for Inbound Call Centers
  2. Fuzzy rule-based analysis of spatio-temporal ATM usage data for fraud detection and prevention1
  3. An MIP model to schedule the call center workforce and organize the breaks
  4. Using location aware business rules for preventing retail banking frauds
  5. Demand Forecasting based on Pairwise Item Associations
  6. Linking Behavioral Patterns to Personal Attributes Through Data Re-Mining
  7. Re-mining item associations: Methodology and a case study in apparel retailing
  8. Analyzing Price Data to Determine Positive and Negative Product Associations
  9. A Framework for Visualizing Association Mining Results
  10. Enhancing Product Recommender Systems on Sparse Binary Data
  11. A Genetic Algorithm Approach for Semi-Supervised Clustering
  12. Optimization Approaches to Semi-Supervised Learning
  13. Clustering Products under Pairwise Positive and Negative Association Constraints in Retailing