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Kaoru Shimada: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
    Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:202-216 [Conf]
  2. Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
    Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:47-54 [Conf]
  3. Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
    Genetic Network Programming with Acquisition Mechanisms of Association Rules. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:1, pp:102-111 [Journal]
  4. Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Genetic network programming with parallel processing for association rule mining in large and dense databases. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1512- [Conf]
  5. Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Association rule mining for continuous attributes using genetic network programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1758- [Conf]

  6. Exceptional Association Rule Mining Using Genetic Network Programming. [Citation Graph (, )][DBLP]


  7. Construction of portfolio optimization system using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  8. Varying portfolio construction of stocks using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  9. Double-deck elevator system using genetic network programming with genetic operators based on pheromone information. [Citation Graph (, )][DBLP]


  10. Ranking association rules for classification based on genetic network programming. [Citation Graph (, )][DBLP]


  11. Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement. [Citation Graph (, )][DBLP]


  12. A method of association rule analysis for incomplete database using genetic network programming. [Citation Graph (, )][DBLP]


  13. Pruning association rules using statistics and genetic relation algoritm. [Citation Graph (, )][DBLP]


  14. Solving Multi-Objective Optimization Problems by RasID-GA: Using an External Population in Genetic Operators. [Citation Graph (, )][DBLP]


  15. Double-Deck Elevator System Uing Genetic Network Programming with Genetic Operators Based on Pheromone Information. [Citation Graph (, )][DBLP]


  16. Optimal route of road networks by dynamic programming. [Citation Graph (, )][DBLP]


  17. Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation. [Citation Graph (, )][DBLP]


  18. Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming. [Citation Graph (, )][DBLP]


  19. Fuzzy Classification Rule Minining Based on Genetic Network Programming Algorithm. [Citation Graph (, )][DBLP]


  20. Multi-Routes Algorithm using Temperature Control of Boltzmann Distribution in Q value-based Dynamic Programming. [Citation Graph (, )][DBLP]


  21. Backward Time Related Association Rule mining with Database Rearrangement in Traffic Volume Prediction. [Citation Graph (, )][DBLP]


  22. Mining association rules from databases with continuous attributes using genetic network programming. [Citation Graph (, )][DBLP]


  23. Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. [Citation Graph (, )][DBLP]


  24. Class association rule mining for large and dense databases with parallel processing of genetic network programming. [Citation Graph (, )][DBLP]


  25. Genetic Network Programming based data mining method for extracting fuzzy association rules. [Citation Graph (, )][DBLP]


  26. Training of Multi-Branch Neural Networks using RasID-GA. [Citation Graph (, )][DBLP]


  27. Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems. [Citation Graph (, )][DBLP]


  28. Double-deck elevator systems adaptive to traffic flows using Genetic Network Programming. [Citation Graph (, )][DBLP]


  29. A personalized association rule ranking method based on semantic similarity and evolutionary computation. [Citation Graph (, )][DBLP]


  30. Real Time Updating Genetic Network Programming for adapting to the change of stock prices. [Citation Graph (, )][DBLP]


  31. Genetic Network Programming with rules. [Citation Graph (, )][DBLP]


  32. Time related association rules mining with attributes accumulation mechanism and its application to traffic prediction. [Citation Graph (, )][DBLP]


  33. Evaluating class association rules using Genetic Relation Programming. [Citation Graph (, )][DBLP]


  34. Genetic Network Programming for fuzzy association rule-based classification. [Citation Graph (, )][DBLP]


  35. Mining multi-class datasets using Genetic Relation Algorithm for rule reduction. [Citation Graph (, )][DBLP]


  36. Generalized Time Related Sequential Association rule mining and traffic prediction. [Citation Graph (, )][DBLP]


  37. Study of multi-branch structure of Universal Learning Networks. [Citation Graph (, )][DBLP]


  38. Enhancing the generalization ability of neural networks through controlling the hidden layers. [Citation Graph (, )][DBLP]


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