Frequent Pattern Matching in Data Mining using Modified Apriori Algorithm with Portioned Data Set Approaches

S. V. Subramanyam

Abstract: In this paper we consist apriori based pruning of frequent pattern matching based mining with approach of portioned data base in mining. The process of mining is often controlled by the requirements of the users. The user may be a business analyst or may be a marketing manager. Different users have different need of information. Depending on the requirements we can use different data mining techniques. The different types of data mining functionalities and the patterns they discover are described below:

Keywords: Frequent Pattern, Apriori, Analyst, Portioned, Information

How to Cite?: S. V. Subramanyam, "Frequent Pattern Matching in Data Mining using Modified Apriori Algorithm with Portioned Data Set Approaches", Volume 12 Issue 5, May 2023, International Journal of Science and Research (IJSR), Pages: 730-735, https://www.ijsr.net/getabstract.php?paperid=SR23309130518, DOI: https://dx.doi.org/10.21275/SR23309130518