Open AccessPresent State-of-The-Art of Association Rule Mining Algorithms
Author(s) -
N. Satyavathi,
B. Rama,
A. Nagaraju
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a2202.109119
Subject(s) - association rule learning , data mining , computer science , database transaction , data stream mining , apriori algorithm , relational database , web mining , data warehouse , affinity analysis , transaction data , database , web page , world wide web
A Data mining is the method of extracting useful information from various repositories such as Relational Database, Transaction database, spatial database, Temporal and Time-series database, Data Warehouses, World Wide Web. Various functionalities of Data mining include Characterization and Discrimination, Classification and prediction, Association Rule Mining, Cluster analysis, Evolutionary analysis. Association Rule mining is one of the most important techniques of Data Mining, that aims at extracting interesting relationships within the data. In this paper we study various Association Rule mining algorithms, also compare them by using synthetic data sets, and we provide the results obtained from the experimental analysis.