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Comparative Study of Effective Performance of Association Rule Mining in Different Databases

A. Pavithra, S. Dhanaraj

Abstract


Data mining practices expert procedures and methods to identify the tendencies and profiles concealed in data. Mining is an iterative process in a sequence. Different sources of data are stored in different databases. The mining depends on databases. This research is for various association rule mining applications of different databases. There are different databases in practice like large database, distributed database, medical database, relational database, spatial database. The process of mining these databases are carried out by different data mining techniques. For making decisions, association rule is most essential. They are associated with association rule mining techniques.


Keywords


Data Mining, Association Rule Mining, Spatial Data Mining, RDBMS, Medical Database, Large Database, Distributed Database.

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References


J. Arokia Renjit and Dr.K.L.Shunmuganathan,” Mining the Data from Distributed Database Using an Improved Mining Algorithm”, Vol. 7, No. 3, March 2010 [(IJCSIS) International Journal of Computer Science and Information Security].

Brijs, T., Goethals, B., Swinnen, G., Vanhoof, K. and Wets. G, “A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model”, 2000 [SIGKDD].

Brijs, T., Swinnen, G., Vanhoof, K. and Wets.G, “Using Association Rules for Product Assortment Decisions: A Case Study”, 1999 [SIGKDD].

Dong, J., Perrizo, W., Ding, Q. and Zhou, J., “The application of association rule mining to remotely sensed data”, 2000 [Proceedings of the ACM symposium on applied computing].

Lee, W., Stolfo, S.J. and Mok, K.W., “A data mining framework for building intrusion detection models”, 1999 [IEEE Symposium on Security and Privacy].

M Deypir and M H Sadreddini, “Distributed Association Rules Mining Using Non- derivable Frequent Patterns”, Vol. 33, Issue B6, pp. 511-26, 2009 [Iranian Journal of Science & Technology, Transaction B: Engineering].

Maurice Houtsma and Arun Swami,” Set-oriented mining for association rules in relational databases”, Vol. 17, pp. 245-262, 1995 [Data and Knowledge Engineering].

Pallavi Dubey, “Association Rule Mining on Distributed Data”, Vol. 3, Issue 1, ISSN: 2229-5518, 2012 [International Journal of Scientific & Engineering Research].

Rakesh Agrawal, Tomasz Imielinski and Arun Swami, “Mining Association Rules between Sets of Items in Large Databases “, May 1993 [Proceedings of the ACM SIGMOD Conference, Washington DC, USA].

Satou, K., Shibayama, G., Ono, T., Yamamura, Y., Furuichi, E., Kuhara, S. and Takagi, T., “Finding association rules on heterogeneous genome data”, 1997 [PSB].

Tyler H. McCormick, C Rudin and D Madigan, “A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction”, 2000 [Submitted to the Annals of Applied Statistics].

Wang, K. and Su, M.Y., “Item Selection by Hub-Authority Profit Ranking”, 2002 [SIGKDD].

Xinhang Xu, Qiuhong S, Hongtao Z, Lei W and Y Liu, “Study and Application on the Method of Association Rules Mining Based on Genetic Algorithm”, 2012 [The 2nd International Conference on Computer Application and System Modeling].


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