Association Rules Mining in Cloud Computing Environments using Improved Apriori Algorithm
Avinash Sharma1 , Sarvottam Dixit2 , N. K. Tiwari3
Section:Survey Paper, Product Type: Journal Paper
Volume-6 ,
Issue-12 , Page no. 399-403, Dec-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i12.399403
Online published on Dec 31, 2018
Copyright © Avinash Sharma, Sarvottam Dixit, N. K. Tiwari . 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: Avinash Sharma, Sarvottam Dixit, N. K. Tiwari, “Association Rules Mining in Cloud Computing Environments using Improved Apriori Algorithm,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.399-403, 2018.
MLA Style Citation: Avinash Sharma, Sarvottam Dixit, N. K. Tiwari "Association Rules Mining in Cloud Computing Environments using Improved Apriori Algorithm." International Journal of Computer Sciences and Engineering 6.12 (2018): 399-403.
APA Style Citation: Avinash Sharma, Sarvottam Dixit, N. K. Tiwari, (2018). Association Rules Mining in Cloud Computing Environments using Improved Apriori Algorithm. International Journal of Computer Sciences and Engineering, 6(12), 399-403.
BibTex Style Citation:
@article{Sharma_2018,
author = {Avinash Sharma, Sarvottam Dixit, N. K. Tiwari},
title = {Association Rules Mining in Cloud Computing Environments using Improved Apriori Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {399-403},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3351},
doi = {https://doi.org/10.26438/ijcse/v6i12.399403}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.399403}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3351
TI - Association Rules Mining in Cloud Computing Environments using Improved Apriori Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Avinash Sharma, Sarvottam Dixit, N. K. Tiwari
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 399-403
IS - 12
VL - 6
SN - 2347-2693
ER -
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Abstract
This paper describes how data mining is used in cloud computing. Data Mining used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become commonplace. Every day people confronted with targeted advertising, and data mining techniques help businesses to become more efficient by reducing costs. Cloud computing provides a powerful, scalable and flexible infrastructure into which one can integrate, previously known, techniques and methods of Data Mining. Data security and access control are the most challenging in cloud computing because users send their sensitive data to the cloud service providers. The service providers must have a suitable way to protect their client’s sensitive data. Association rules are dependency rules, which predict occurrence of an item based on occurrences of other items. Apriori is the best-known algorithm to mine association rules. In this paper, we use Modified Apriori algorithm to mine the data from the cloud using sector/sphere framework with association rules.
Key-Words / Index Term
Data mining, Cloud Computing Association rules
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