Association Technique in Data Mining and Its Applications

  IJCOT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© - April Issue 2013 by IJCTT Journal
Volume-4 Issue-4                           
Year of Publication : 2013
Authors : Harveen Buttar, Rajneet Kaur

MLA

Harveen Buttar, Rajneet Kaur "Association Technique in Data Mining and Its Applications "International Journal of Computer Trends and Technology (IJCTT),V4(4):715-719 April Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: - Data mining provides us with a variety of techniques for pattern analysis on large data such as association, clustering, segmentation and classification for better manipulation of data. This paper presents that how the data mining technique : association can be used in different areas. For instance, this technique helps the pharma firms to compete on lower costs while improving the quality of drug discovery and delivery methods. Also, this technique can be helpful in breast cancer diagnosis and prognosis. It shows that association rule mining algorithms can be used in the classification approach.

 

References-

[1] Liu, B., Hsu, W., and Ma, Y. (1998). Integrating Classification and association rule mining. In KDD ’98, New York, NY, Aug. 1998.
[2] Thabtah, F., Cowling, P. and Peng, Y. H. (2004). MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. Fourth IEEE International Conference on Data Mining (ICDM`04).
[3] Li, W., Han, J., and Pei, J. (2001). CMAR: Accurate and efficient classification based on multiple-class association rule. In ICDM’01, pp. 369-376, San Jose, CA.
[4] Agrawal, R., Amielinski, T., and Swami, A. (1993). Mining association rule between sets of items in large databases. In Proceeding of the 1993 ACM SIGMOD International Conference on Management of Data, pp. 207-216, Washington, DC, May 26-28.
[5] Shweta Kharya," Using Data Mining Techniques for Diagnosis and Prognosis of Cancer Disease" , International Journal of Computer

Keywords — Data Mining, Assocation, Drug Discovery, Breast Cancer.