Advertisement

Agents Based Data Mining and Decision Support System

  • Serge Parshutin
  • Arkady Borisov
Conference paper
  • 392 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5680)

Abstract

Production planning is the main aspect for a manufacturer affecting an income of a company. Correct production planning policy, chosen for the right product at the right moment in the product life cycle (PLC), lessens production, storing and other related costs. This arises such problems to be solved as defining the present a PLC phase of a product as also determining a transition point - a moment of time (period), when the PLC phase is changed.

The paper presents the Agents Based Data Mining and Decision Support system, meant for supporting a production manager in his/her production planning decisions. The developed system is based on the analysis of historical demand for products and on the information about transitions between phases in life cycles of those products. The architecture of the developed system is presented as also an analysis of testing on the real-world data results is given.

Keywords

Software Agents Data Mining Decision Support Forecasting Transition Points 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Athanasiadis, I., Mitkas, P.: An agent-based intelligent environmental monitoring system. Management of Environmental Quality: An International Journal 15(3), 238–249 (2004)CrossRefGoogle Scholar
  2. 2.
    Campbell, G.M., Mabert, V.A.: Cyclical schedules for capacitated lot sizing with dynamic demands. Management Science 37(4), 409–427 (1991)CrossRefGoogle Scholar
  3. 3.
    Dunham, M.: Data Mining Introductory and Advanced Topics. Prentice Hall, Englewood Cliffs (2003)Google Scholar
  4. 4.
    Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Pearson Education, London (1999)Google Scholar
  5. 5.
    Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufman, San Francisco (2006)zbMATHGoogle Scholar
  6. 6.
    Hand, D.J., Mannila, H., Smyth, P.: Principles of Data Mining. MIT Press, Cambridge (2001)Google Scholar
  7. 7.
    Haykin, S.: Neural Networks, 2nd edn. Prentice Hall, Englewood Cliffs (1999)zbMATHGoogle Scholar
  8. 8.
    Keogh, E., Pazzani, M.: Derivative dynamic time warping. In: Proceedings of the First SIAM International Conference on Data Mining, Chicago, USA (2001)Google Scholar
  9. 9.
    Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer, Heidelberg (2001)CrossRefzbMATHGoogle Scholar
  10. 10.
    Kotler, P., Armstrong, G.: Principles of Marketing, 11th edn. Prentice Hall, Englewood Cliffs (2006)Google Scholar
  11. 11.
    Liu, J.: Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation. World Scientific, Singapore (2001)CrossRefGoogle Scholar
  12. 12.
    Merkuryev, Y., Merkuryeva, G., Desmet, B., Jacquet-Lagreze, E.: Integrating analytical and simulation techniques in multi-echelon cyclic planning. In: Proceedings of the First Asia International Conference on Modelling and Simulation, pp. 460–464. IEEE Computer Society, Los Alamitos (2007)CrossRefGoogle Scholar
  13. 13.
    Obermayer, K., Sejnowski, T. (eds.): Self-Organising Map Formation. MIT Press, Cambridge (2001)Google Scholar
  14. 14.
    Pyle, D.: Data Preparation for Data Mining. Morgan Kaufmann Publishers, an imprint of Elsevier, San Francisco (1999)Google Scholar
  15. 15.
    Symeonidis, A., Kehagias, D., Mitkas, P.: Intelligent policy recommendations on enterprise resource planning by the use of agent technology and data mining techniques. Expert Systems with Applications 25(4), 589–602 (2003)CrossRefGoogle Scholar
  16. 16.
    Tan, P.-N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Pearson Education, London (2006)Google Scholar
  17. 17.
    Zhu, X.: Semi-supervised learning literature survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Serge Parshutin
    • 1
  • Arkady Borisov
    • 1
  1. 1.Institute of Information TechnologyRiga Technical UniversityLatviaLatvia

Personalised recommendations