CFP last date
20 December 2024
Reseach Article

Article:Exploiting need of Heterogeneous Data Mining Environment based on Mobile Computing Environments

by Smriti Pandey, Prof. Illyas khan, Prof. Vijay K. Chaudhari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 9
Year of Publication: 2010
Authors: Smriti Pandey, Prof. Illyas khan, Prof. Vijay K. Chaudhari
10.5120/1509-2027

Smriti Pandey, Prof. Illyas khan, Prof. Vijay K. Chaudhari . Article:Exploiting need of Heterogeneous Data Mining Environment based on Mobile Computing Environments. International Journal of Computer Applications. 10, 9 ( November 2010), 30-33. DOI=10.5120/1509-2027

@article{ 10.5120/1509-2027,
author = { Smriti Pandey, Prof. Illyas khan, Prof. Vijay K. Chaudhari },
title = { Article:Exploiting need of Heterogeneous Data Mining Environment based on Mobile Computing Environments },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 9 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number9/1509-2027/ },
doi = { 10.5120/1509-2027 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:17.978706+05:30
%A Smriti Pandey
%A Prof. Illyas khan
%A Prof. Vijay K. Chaudhari
%T Article:Exploiting need of Heterogeneous Data Mining Environment based on Mobile Computing Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 9
%P 30-33
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we discuss and analyze the consumptive behavior based on data mining technology. We discuss and analyze different aspects of data mining techniques and their behavior in mobile devices. We also analyze the better method or rule of data mining services which is more suitable for mobile devices. In this paper, we survey several aspects of open service framework based on grid structure which provides the heterogeneous environment for data mining on mobile computing environments.

References
  1. M. Migliardi, M. Maheswaran, B. Maniymaran, and P. Mobile Interfaces to Computational, Data, and Service Grid Systems. ACM SIGMOBILE Mobile Computing and Communications Review, 6(4), 2004.
  2. S. Wesner, T. Dimitrakos, and K. Jeffrey. Akogrimo – The Grid goes Mobile. ERCIM, October(59), 2004.
  3. A. Arcelus, M.H. Jones, R. Goubran, and F. Knoefel. Integration of smart home technologies in a health monitoring system for the elderly. Advanced Information Networking and Applications Workshops, 2007, AINAW ’07. 21st International Conference on, 2:820–825, May 2007.
  4. Raphael M. Bahati and Michael A. Bauer. Adapting to runtime changes in policies driving autonomic management. In ICAS ’08: Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems (ICAS’08), pages 88– 93, Washington, DC, USA, 2008. IEEE Computer Society.
  5. Michael Beetz, Jan Bandouch, Alexandra Kirsch, Alexis Maldonado, Armin M¨uller, and Radu Bogdan Rusu. The assistive kitchen a demonstration scenario for cognitive technical systems. (HAM), 2007.
  6. Ralph Bergmann. Ambient intelligence for decision making in fire service organizations. In AmI, pages 73–90, 2007.
  7. Isakow, A. and Shi, H. “Review of J2ME and J2MEbased Mobile Applications”, International Journal of Communication and Network Security, Vol. 8 No. 2, pp. 189-198.
  8. http://www.3g.co.uk/PR/Sept2005/1943.htm
  9. http://www.cellular-news.com/story/18707.php
  10. http://docs.sun.com.
  11. I. Foster, C. Kesselman, and S. Tuecke, Organizations International Journal of High Performance Computing Applications, 2001.
  12. Julio Sanchez, Maria P. Canton, "JAVA Programming for Engineers", CRC Press LLC, Printed in the United States of America, 2002.
  13. H.Zhuge. “Semantics, Resource and Grid”. Future Generation Computer Systems, 2004.
  14. A. Congiusta, D. Talia, and P. Trunfio. Distributed data mining services leveraging wsrf. Future Generation Comp. Syst., 2007.
  15. D. D. Roure, N. R. Jennings, and N.l R. Shadbolt, “The Semantic Grid: Past, Present and Future”, The Proceeding of IEEE, 2005.
  16. Rong Zhang, Koji Zettsu and Yutaka Kidawara,” SIKA: DC, USA, 2008.
  17. Domenico Talia and Paolo Trunifo “Distributed data mining services leveraging WSRF”, Future Generation Computer Systems, ACM 2009.
  18. Xiao and Li Jianhua “Semantic Grid Security Solutions Based on Knowledge Base”, Proceedings of the Advanced International Conference on Telecommunications and International Conference on Internet and Web Applications and Services, 2009
  19. Wu Yueliang” Mobile Business Application based on J2ME and Web Services”, Eighth International Conference on Mobile Business, IEEE 2009.
  20. Huimin Wang, Guihua Nie and Kui Fu “Distributed Data Mining Based on Semantic Web and Grid” in International Conference on Computational Intelligence and Natural Computing, IEEE, 2009
  21. Ashutosh Dubey and Shihir Shandilya “ICT 2010”,Springer LNCS-2010.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Heterogeneous CLDC MIDP Grid