.png){kind=icon}
返回
Pruning Strategy on Adaptive Rule Model by Sorting Utility Items
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2022.3202307.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The adaptive Rule Model is an association rule development that formulates a minimum threshold value according to the data characteristics. The formulation process is based on item frequency and utility for other considerations, which requires high runtime and memory usage. For better performance, it is necessary to develop a pruning strategy that can minimize runtime and memory usage without reducing the quality of the rule produced. Therefore, this research aims to develop 2 pruning strategies, namely the Adaptive Rule with Average Utility (ADR-AU) and the Adaptive Rule with Sorting Utility (ADR-SU) to improve the adaptive rule model. The ADR-AU changes the minimum threshold using the average utility item. The ADR-SU model proposes an additional step in the frequent itemset determination process. It is used for sorting utility items in descending order before the iteration process is carried out to compare whether the values are greater than the minimum threshold. Based on the experiments on 8 datasets, the number of frequent itemset in the ADR-AU and ADR-SU models was significantly less in the adaptive rule model. The results showed that all datasets experienced a decrease in runtime between the adaptive rule model and ADR-AU. Meanwhile, for the Zoo and Sco datasets, there was an increase in runtime between the ADR-AU and ADR-SU models. In terms of memory usage, the connect and retail datasets experienced a decrease, while the other 4 were increased at the ADR-AU and ADR-SU stages.
Keyword:
Adaptation models
Itemsets
Runtime
Databases
Data mining
Sorting
Recommender systems
Adaptive rule
pruning
utility
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
An integrated water/sediment approach to study plankton (a case study in the southern Adriatic Sea)
.png){kind=icon}
PREAI
分享收藏Canopy‐Based Normalized Difference Vegetation Index Sensors for Monitoring Cotton Nitrogen Status
OAAI
OAAI分享收藏A hybrid recommender system for recommending relevant movies using an expert system使用专家系统推荐相关电影的混合推荐系统
PREAI
分享收藏Application of association rules mining algorithm for hazardous materials transportation crashes on expressway关联规则挖掘算法在高速公路危险品运输事故中的应用
PREAI
分享收藏Long-term subsidence monitoring of urban areas using differential interferometric SAR techniques
PREAI
分享收藏
查看更多内容