Implementation of data frame work system based on model driven architecture for MAS and Web based applications

  • Authors

    • Rajasekhar Nennuri
    • Atmakuri Krishna Chaitanya
    • Lakshmi Prasanthi Malyala
    2018-04-18
    https://doi.org/10.14419/ijet.v7i2.20.11730
  • Agents, Intelligent Systems, Web Mining, Model driven
  • To utilize those Incomprehensible measures from claiming data effectively on the Web to make the data transforming intelligent, customize Furthermore programmed will be those A large portion vital requisitions of the present information mining innovation organization. Model driven Architecture (MDA) which will be utilized for code era need huge numbers profits In conventional product improvement routines. In this paper, Web information mining transform is acquainted from the see for function, a canny mining framework from claiming data is based for joining together those information mining. The idea of Web information mining is presented the place the part of MDA may be characterized. MDA utilizing J2EE (Java to Enterprise Edition) on portray conduct about operators need aid utilized within this suggested structural engineering. Struts skeleton gives a standard to Creating MAS (multi-agent systems) and Web based requisitions

     

     

  • References

    1. [1] J. Han, M. Kamber and J. Pei, Data Mining Concepts and Techniques, 3rd ed., Waltham, USA: Morgan Kaufmann, 2012.

      [2] A. Fariz, J. Abouchabaka, N. Rafalia, “Using Multi-Agents Systems in Distributed Data Mining: A Survey,†Journal of Theoretical and Applied Information Technology, vol. 73 No. 3, pp. 427-440, March 2015.

      [3] L. Cao, G. Weiss, and P. S. Yu, “A brief introduction to agent mining,†Springer, May 2012.

      [4] S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 2nd ed., Upper Saddle River, New Jersey, USA: Pearson Education Inc., 2010.

      [5] N. R. Jennings and M. Wooldridge, “Applications of Intelligent Agents,†Springer-Verlag: New York, USA, 1998.

      [6] L. Cao, V. Gorodetsky, P. A. Mitkas, “Agent Mining: The Synergy of Agents and Data Mining,†IEEE Intelligent Systems, pp. 64-72, May/June 2009.

      [7] A. M. Al-Barky and J. Ali, “Intelligent mining agent,†in 8th International Conference on Computing Technology and Information Management (ICCM), 2012, vol. 1, p. 23.

      [8] E. Serrano, M. Rovatsos and J. A. Botía, “Data mining agent conversations: A qualitative approach to multiagent systems analysis,†Journal of Theoretical and Applied Information Technology, vol. 73 No. 3, pp. 132-146, March 2015.

      [9] O. Kazik, K. Pešková, M. Pilát and R. Neruda, “Meta learning in multi-agent systems for data mining,†pp. 433-434, Elsevier, Jan 2013.

      [10] D. Sharma and F. Shadabi, “Multi-Agents Based Data Mining for Intelligent Decision Support Systems,†in 2nd International Conference on Systems and Informatics (ICSAI), 2014, pp. 241-245.

      [11] Q. Li and R. Khosla, “Performance Optimization of Data Mining Applications Using a Multi-layered Multi-agent Data Mining Architecture,†in IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2005, pp. 227-231.

      [12] Z. Geng and Q. Zhu, “A Multi-Agent Method for Parallel Mining Based on Rough Sets,†in Proceedings of the 6th World Congress on Intelligent Control and Automation), June 2006. pp. 5977-5980

      [13] Ramesh A. medar, A. H. Kulkarni,†design of an information intelligent system based on web data miningâ€, International Journal of Computer Science Engineering and Information Technology Research, Vol.1, Issue 2 Dec 2011

      [14] P.Avouris et al, "Electronics and Optoelectronics with Carbon HYPERLINK "http://www.aip.org/tip/INPHFA/vol-10/iss-3/p18.html"NanotubesHYPERLINK "http://www.aip.org/tip/INPHFA/vol-10/iss-3/p18.html"," Archived October 8, 2010, at the WaybackHYPERLINK "https://en.wikipedia.org/wiki/Wayback_Machine" Machine. American Institute of Physics, 18–21, June/July 2004.

  • Downloads

  • How to Cite

    Nennuri, R., Krishna Chaitanya, A., & Prasanthi Malyala, L. (2018). Implementation of data frame work system based on model driven architecture for MAS and Web based applications. International Journal of Engineering & Technology, 7(2.20), 1-4. https://doi.org/10.14419/ijet.v7i2.20.11730