Pattern Evaluation in MBA using A Novel Approach

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-1
Year of Publication : 2019
Authors : W.Sarada, Dr.P.V.Kumar
DOI :  10.14445/22312803/IJCTT-V67I1P101

MLA

MLA Style: W.Sarada, Dr.P.V.Kumar "Pattern Evaluation in MBA using A Novel Approach" International Journal of Computer Trends and Technology 67.1 (2019): 1-3.

APA Style:W.Sarada, Dr.P.V.Kumar (2019). Pattern Evaluation in MBA using A Novel Approach. International Journal of Computer Trends and Technology, 67(1), 1-3.

Abstract
Data mining is about finding out and extracting important information from among various fields in the databases. Most of the ARM`s experience a lengthy execution time and generation of numerous associations. The focus is on about a new approach which is of noteworthy on the market basket behaviour using various strategies composed of two stage altered apriori algorithm

Reference
[1] Sava sere, E. Omiecinski and S. Navathe, ?Mining for Strong Negative Relationship in a Large Database of Customer Transactions?, Proc. of ICDE, Pp. 494–502, 1998.
[2] Trnka, ?Market Basket Analysis with Data Mining Methods?, International Meeting on Networking and Data Technology (ICNIT), Pp. 446 - 450, 2010.
[3] A.K. Tripathy, J. Adinarayana and D.Sudharsan, Geospatial Data Mining for Agribusiness Pest Management – A Framework?, seventeenth International Conference on Geoinformatics, Pp. 1-6, 2009.
[4] A.K. Tripathy, J. Adinarayana, D. Sudharsan S.N. Shipper,U.B. Desai, K. Vijayalakshmi, D.R. Reddy, G. Srinivas, S.Ninomiya, M. Hirafuji, T. Kiura and K. Tanaka, ?Data Mining and Wireless Sensor Network for Agriculture Bother/Disease Predictions?, World Congress on Data and Communication Innovations (WICT), Pp. 1229-1234, 2011.
[5] A.K.H, Tung, Hongjun Lu, Jiawei Han and Ling Feng, ?Efficient Mining of Inter transaction Association Rules?, IEEE Transactions on Knowledge and Data Designing, Vol. 15, No. 1, Pp. 43-56, 2003.
[6] Abhijit Raorane and R.V. Kulkarni, ?Data Mining Techniques: A Source for Buyer Behavior Analysis?, International Journal of Database Management Systems (IJDMS), Vol. 3, No. 3, Pp. 45-56, 2011.
[7] Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda, ?An Apriori-based Algorithm for Mining Frequent Substructures from Graph Data?, Conference on Standards of Data Mining and Knowledge Discovery - PKDD, Pp. 13-23, 2000
[8] Liu, W. Hsu and Y. Mama, ?Mining Association Rules With Multiple Minimum Supports?, Proc. Data Discovery and Data Mining Conf., Pp. 337-341, 1999.
[9] Vo and B. Le, ?Mining Traditional Association Rules utilizing Frequent Itemsets Lattice?, International Conference on Computers and Industrial Engineering, Pp. 1401– 1406, 2009.
[10] Dr. V. Uma Devi, R.Sumithra- An Efficient Nonnegative Matrix Factorization & Game Theoretic Framework Based Data Clustering-IJCTT- V49p109.
[11] Khasim Syed, Dr. S V N Srinivasu- A Review of Web_Image Mining Tools, Techniques and Applications-IJCTT-V49p107
[12] Prerana Khurana, Shabnam Parveen- Effective Hybrid Recommender Approach using Improved K-means And Similarity-IJCTT-V36P126

Keywords
Data mining, Association, strategies