Open AccessAn Enhanced Apriori with Interestingness of Patterns using cSupport and rSupport
Author(s) -
Sudhir Tirumalasetty,
A. Aruna,
A. Padmini,
D. Vijaya Sagaru,
A. Tejeswini
Publication year - 2021
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2021.v10i07.003
Subject(s) - apriori algorithm , association rule learning , a priori and a posteriori , computer science , data mining , variety (cybernetics) , association (psychology) , machine learning , artificial intelligence , philosophy , epistemology
Data mining is wide spreading its applications in several areas. There are different tasks in mining which provides solutions for wide variety of problems in order to discover knowledge. Among those tasks association mining plays a pivotal role for identifying frequent patterns. Among the available association mining algorithms Apriori algorithm is one of the most prevalent and dominant algorithm which is used to discover frequent patterns. An enhancement to Apriori algorithm is done i.e. Apriori2 which minimized the number of scans. In this research Apriori2 is modified by including rSupport or cSupport. Also includes the comparison of these variants of APRIORI along with the proposed.