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Computational Study on Association Rule Mining Using Microarray Data

K. Mohan Kumar1 , S. Devi2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 299-303, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.299303

Online published on Nov 30, 2018

Copyright © K. Mohan Kumar, S. Devi . 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: K. Mohan Kumar, S. Devi, “Computational Study on Association Rule Mining Using Microarray Data,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.299-303, 2018.

MLA Style Citation: K. Mohan Kumar, S. Devi "Computational Study on Association Rule Mining Using Microarray Data." International Journal of Computer Sciences and Engineering 6.11 (2018): 299-303.

APA Style Citation: K. Mohan Kumar, S. Devi, (2018). Computational Study on Association Rule Mining Using Microarray Data. International Journal of Computer Sciences and Engineering, 6(11), 299-303.

BibTex Style Citation:
@article{Kumar_2018,
author = {K. Mohan Kumar, S. Devi},
title = {Computational Study on Association Rule Mining Using Microarray Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {299-303},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3159},
doi = {https://doi.org/10.26438/ijcse/v6i11.299303}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.299303}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3159
TI - Computational Study on Association Rule Mining Using Microarray Data
T2 - International Journal of Computer Sciences and Engineering
AU - K. Mohan Kumar, S. Devi
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 299-303
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

Data mining is used to bring out the unknown information from known large data set. In data mining Association Rule Mining (ARM) is a technique which discovers the frequent relation between the patterns by using the terms support and confidence. Apriori, Partition, Border and Incremental algorithms are some of the algorithms in ARM. In this work microarray dataset for psychological disorders is extracted from GEO data base, applied Apriori algorithm, implemented using R tool and recognized the relationship between the diseases in psychological disorder.

Key-Words / Index Term

Association Rule Mining, Apriori, Microarray dataset, Psychological Disorder, Occurrences

References

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