A Survey on Data Mining Association Rules By Effective Algorithms


Authors : Sivarani Jalmanayani, T.Subramanyam,

Volume/Issue : Volume 2 - 2017, Issue 7 - July

Google Scholar : https://goo.gl/454G3V

Scribd : https://goo.gl/473i2w

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers and develop more effective marketing strategies as well as increase sales and decrease costs. Classification is a Data Mining technique, to build a concise model that can be used to predict the class of records whose class label is not known. Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.This paper, we provide the basic concepts about classification, association rule mining, mining algorithms and Survey association rule mining techniques.

Keywords : Data mining, Single Dimensional, Multi-Dimensional, Hybrid Dimensional, Apriori algorithm, Éclat algorithm, FP growth algorithm.

CALL FOR PAPERS


Paper Submission Last Date
30 - November - 2020

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe