Probability Measures for Prediction in Multi-table Infomation Systems

  • R. S. Milton
  • V. Uma Maheswari
  • Arul Siromoney
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

Rough Set Theory is a mathematical tool to deal with vagueness and uncertainty. Rough Set Theory uses a single information table. Relational Learning is the learning from multiple relations or tables. This paper presents a new approach to the extension of Rough Set Theory to multiple relations or tables. The utility of this approach is shown in classification experiments in predictive toxicology.

Keywords

Decision Table Decision Class Granular Computing Multiple Relation Link Attribute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [KPPS99]
    Komorowski, J., Pawlak, Z., Polkowski, L., Skowron, A.: Rough sets: A tutorial. In: Pal, S.K., Skowron, A. (eds.) Rough Fuzzy Hybridization: A New Trend in Decision-Making, pp. 3–98. Springer, Heidelberg (1999)Google Scholar
  2. [MUS04]
    Milton, R.S., Maheswari, V.U., Siromoney, A.: Rough sets and relational learning. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B.z., Świniarski, R.W., Szczuka, M.S. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 321–337. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. [MUS05]
    Milton, R.S., Maheswari, V.U., Siromoney, A.: Studies on rough sets in multiple tables. In: Ślęzak, D., Wang, G., Szczuka, M.S., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 265–274. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. [Paw82]
    Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11(5), 341–356 (1982)MATHCrossRefMathSciNetGoogle Scholar
  5. [Paw91]
    Pawlak, Z.: Rough Sets — Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)MATHGoogle Scholar
  6. [Ś05]
    Ślęzak, D.: Rough Sets and Bayes Factor. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets III. LNCS, vol. 3400, pp. 202–229. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. [Wro00]
    Wroblewski, J.: Analyzing relational databases using rough set based methods. In: Proceedings of IPMU 2000, vol. 1, pp. 256–262 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • R. S. Milton
    • 1
  • V. Uma Maheswari
    • 2
  • Arul Siromoney
    • 2
  1. 1.Department of Computer ScienceMadras Christian CollegeChennaiIndia
  2. 2.Department of Computer Science and Engineering, College of EngineeringAnna UniversityChennaiIndia

Personalised recommendations