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A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique

W. Sarada1 , P.V. Kumar2

  1. Dept. of Computer science, RBVRR, Rayalaseema University, Kurnool, India.
  2. Dept. of Computer science and Engineering, Osmania University, Hyderabad, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 1151-1155, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.11511155

Online published on May 31, 2018

Copyright © W. Sarada, P.V. Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: W. Sarada, P.V. Kumar, “A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1151-1155, 2018.

MLA Style Citation: W. Sarada, P.V. Kumar "A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique." International Journal of Computer Sciences and Engineering 6.5 (2018): 1151-1155.

APA Style Citation: W. Sarada, P.V. Kumar, (2018). A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique. International Journal of Computer Sciences and Engineering, 6(5), 1151-1155.

BibTex Style Citation:
@article{Sarada_2018,
author = { W. Sarada, P.V. Kumar},
title = {A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1151-1155},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2123},
doi = {https://doi.org/10.26438/ijcse/v6i5.11511155}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.11511155}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2123
TI - A novel approach for Generating Association Rules pattern matching Using improved Apriori with Regression Technique
T2 - International Journal of Computer Sciences and Engineering
AU - W. Sarada, P.V. Kumar
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1151-1155
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Association rule mining is an astoundingly basic and critical piece of data mining.It will be utilized to Figure the entrancing plans from exchange databases. Apriori count will be a champion among those for all intents and purposes built up computations from guaranteeing association rules, yet all the it require the bottleneck Previously, adequacy. In this article, we recommended a prefixed-itemset-based data structure to create visit itemset, with those help of the structure we made sense of how to improve the viability of the conventional Apriori computation.

Key-Words / Index Term

arm, apriori, regression, improve apriori,weka data set, indwx, clustering

References

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