Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)

The Comparison of Apriori Algorithm with Preprocessing and FP-Growth Algorithm for Finding Frequent Data Pattern in Association Rule

Authors
Deo WICAKSONO, Muhammad Ihsan JAMBAK, Danny Matthew SAPUTRA
Corresponding Author
Muhammad Ihsan JAMBAK
Available Online 6 May 2020.
DOI
10.2991/aisr.k.200424.047How to use a DOI?
Keywords
data mining, Association Rules, FP-Growth, apriori, rules
Abstract

Association Rules is a data mining method to find the relation between items called rules. Finding rules in the association method can be divided into two phases. The first phase is finding the frequent pattern which satisfies specified minimum frequent, and the second phase is finding strict rules from the frequent pattern which satisfy the minimum support and confidence. The main problem of Association Rules is based on the algorithm used, and this method takes a large amount of memory and time-consuming. This study aims to add preprocessing using the aggregate function on the Apriori Algorithm and therefore improve the memory and time consumption for finding a large number of rules.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
Series
Advances in Intelligent Systems Research
Publication Date
6 May 2020
ISBN
978-94-6252-963-2
ISSN
1951-6851
DOI
10.2991/aisr.k.200424.047How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Deo WICAKSONO
AU  - Muhammad Ihsan JAMBAK
AU  - Danny Matthew SAPUTRA
PY  - 2020
DA  - 2020/05/06
TI  - The Comparison of Apriori Algorithm with Preprocessing and FP-Growth Algorithm for Finding Frequent Data Pattern in Association Rule
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 315
EP  - 319
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.047
DO  - 10.2991/aisr.k.200424.047
ID  - WICAKSONO2020
ER  -