International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 223    Submit Your Rating     Cite This   Download        Certificate

COMPARATIVE STUDY OF INCREMENTAL DATA MINING ALGORITHM AND DELTA ALGORITHM

    2 Author(s):  VANDANA TIWARI ,P. K. RAI

Vol -  10, Issue- 10 ,         Page(s) : 34 - 38  (2019 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

in today’s computer world there are huge data warehouse used where in large in size. We need to have an algorithm which can much efficient to mine data from large data warehouse in less time to utilize less memory. So here we are about to describe about the IMA and DELTA algorithm.

  • David, W. C., (1996) “Maintenance of discovered association rules in large databases: An incremental updating technique”, Data Engineering, 1996. Proceedings of the Twelfth International Conference on. IEEE, (1996).
  • Chang, C., and J. S. Lee, (2005) “An efficient algorithm for incremental mining of association rules”, Proceedings of the 15th international workshop on research issues in data engineering: stream data mining and applications (RIDE-SDMA’05), IEEE, 2005.
  • Chang, R., and Liu, Z. , (2011) An Improved Apriori Algorithm, International Conference on Electronics and Optoelectronics, 221-224p, 2011. 
  • Adviaans, P. and Zantirige, D. (2005), “Data Mining”, Pearson Education. Eleventh Indian Reprint, 2005
  • Goethals, B., and Zaki, M., (2015) “Frequent Item set Mining Dataset Repository”, http://fimi. ua. ac. be/data, (2015).
  • Lu, T, Hong, J. andQiuzi, S., (2012) “An Improved Incremental Updating Algorithm for Association Rules”, Computer Applications and Software, vol.29, no.4, 246-248p, 2012.
  • Quan, Z. , Sun, Z. , and Ji, X. , (2003) “Incremental updating algorithm based on frequent pattern tree for mining association rules”, Chinese Journal of Computers-Chinese Edition, vol.26, no.1, 91-96p, 2003.
  • SaxenaA, Singh, G (Col) and Sagar, B, B. (2013) “An Incremental Data Mining Algorithm” International Journal of Engineering Sciences vol.2, Issue 01, 107-111p, ISSN (2277-9698), 2013.
  • Saxena A and Singh, G (Col. ) (2015) “The Study of Efficiency of IMA Using ACF” International Journal of Advance Research in Computer Science and Management Studies Volume 3, Issue 10, 144-150p, October 2015 ISSN: 2321-7782 (Online) www. ijarcsms. com, 2015.
  • Prabhu, C. S. R. (2002), “Data-Warehouse and its Concept Techniques, Product and Applications”. PHI IInd Edition, 2002
  • Marghny H. Mohamed, Darwieesh, M. , (2013) Efficient mining frequent item sets algorithms, Springer-VerlagBerlin Heidelberg, 50-54p, 2013.
  • Qiuyang, C. , and Jin, L. , (2011) “Research on optimization of parallel incremental updating algorithm for association rules”, JisuanjiGongchengyuYingyong(Computer Engineering and Applications), vol.47, no.14, (2011).
  • Cheung, D. , Lee, S. and Kao, B. , (1997) “A General incremental technique for maintaining discovered association rules”, In Proceedings of the 5 th Intl. Conf. on Database Systems for Advanced Applications (DASFAA'97), Melbourne, Australia, 185-194p, 1997.

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details