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A Survey on Effective Mining of Negative Association Rules from Huge Databases

E. Bala Krishna1 , B. Rama2 , A. Nagaraju3

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-9 , Page no. 220-223, Sep-2015

Online published on Oct 01, 2015

Copyright © E. Bala Krishna, B. Rama , A. Nagaraju . 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: E. Bala Krishna, B. Rama , A. Nagaraju, “A Survey on Effective Mining of Negative Association Rules from Huge Databases,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.9, pp.220-223, 2015.

MLA Style Citation: E. Bala Krishna, B. Rama , A. Nagaraju "A Survey on Effective Mining of Negative Association Rules from Huge Databases." International Journal of Computer Sciences and Engineering 3.9 (2015): 220-223.

APA Style Citation: E. Bala Krishna, B. Rama , A. Nagaraju, (2015). A Survey on Effective Mining of Negative Association Rules from Huge Databases. International Journal of Computer Sciences and Engineering, 3(9), 220-223.

BibTex Style Citation:
@article{Krishna_2015,
author = {E. Bala Krishna, B. Rama , A. Nagaraju},
title = {A Survey on Effective Mining of Negative Association Rules from Huge Databases},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2015},
volume = {3},
Issue = {9},
month = {9},
year = {2015},
issn = {2347-2693},
pages = {220-223},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=674},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=674
TI - A Survey on Effective Mining of Negative Association Rules from Huge Databases
T2 - International Journal of Computer Sciences and Engineering
AU - E. Bala Krishna, B. Rama , A. Nagaraju
PY - 2015
DA - 2015/10/01
PB - IJCSE, Indore, INDIA
SP - 220-223
IS - 9
VL - 3
SN - 2347-2693
ER -

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Abstract

This paper describes about research work carried out by various authors, in which different methods are adapted to mine negative association rules. Many research surveys indicate that negative association rules are very important as positive association rules. The discovery of negative association rules are based on the interest patterns and non-interest patterns from data base (that is mining negative association rules from frequent item sets and infrequent item sets). A negative association is referred to as a negative relation between two item sets. This negative relation implies a negative rule between the two item sets.

Key-Words / Index Term

Negative Association Rules, Infrequent Item Sets, Non- Interest Patterns

References

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