Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal RESLAJ: Religion Education Social Laa Roiba Journal
Kinana Syah Sulanjari
Institut Teknologi Sepuluh November
Religion Economics, Econometrics & Finance Education Environmental Science Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Scalability Analysis of Frequent Closed High Utility Itemset Mining on Multi-Year Retail Transaction Data Kinana Syah Sulanjari; Chastine Fatichah
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 10 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i10.9210

Abstract

Frequent Closed High Utility Itemset Mining (FCHUIM) is a vital approach for discovering high-value patterns from transactional data. However, a major challenge arises as historical data volume grows substantially over time, particularly in dynamic retail domains. This study aims to analyze the scalability of the Closed-FHUIM algorithm with respect to increasing volumes of multi-year retail cooperative transaction data, spanning from one to five years. The evaluation focuses on four key performance metrics: execution time, memory usage, number of discovered patterns, and pattern growth rate. Experiments were conducted incrementally using annual transaction datasets. The results show that execution time grows exponentially with data volume, while the number of patterns increases significantly in the early years and plateaus in later periods. Memory usage exhibits fluctuating behavior influenced by transaction structures, and the pattern growth rate gradually declines as the data span widens. These findings suggest that although Closed-FHUIM is effective for high-utility pattern discovery, further optimization is required for deployment in large-scale and longitudinal retail scenarios.
Co-Authors Chastine Fatichah