Results 31 to 40 of about 43,482 (243)
A Spatiotemporal Apriori Approach to Capture Dynamic Associations of Regional Traffic Congestion
Due to the interactions among adjacent roads in urban road networks, traffic congestion gradually propagates to neigboring roads, resulting in regional congestion.
Dong-Fan Xie +2 more
doaj +1 more source
D-Apriori: An Algorithm to Incorporate Dynamism in Apriori Algorithm
Apriori algorithm mines the data from the large scale data warehouse using association rule mining. In this paper a new algorithm named as Dynamic Apriori (D-Apriori) algorithm is presented. The proposed D-Apriori algorithm incorporates the dynamism in classical Apriori for efficiently mining the frequent itemsets from a large scale database.
N. Badal, S. Bagga
openaire +1 more source
Given the inconsistency between the information value and the weight value in the weighted information value model, a weight model based on the Apriori algorithm is established in this paper to analyze the correlation between the second-level intervals ...
Bin Chen +7 more
doaj +1 more source
Abstrak- Algoritma yang umum digunakan dalam proses pencarian frequent itemset (data yang paling sering muncul) adalah Apriori. Tetapi Algoritma Apriori mempunyai memiliki kekurangan yaitu membutuhkan waktu yang lama dalam proses pencarian frequent ...
Wirdah choiriah
doaj +3 more sources
Apriori algorithm, as a typical frequent itemsets mining method, can help researchers and practitioners discover implicit associations from large amounts of data.
Xiyu Liu, Yuzhen Zhao, Minghe Sun
doaj +1 more source
Analysis and research on library user behavior based on apriori algorithm
This paper discusses the analysis and research of library user behavior based on Apriori optimization algorithm. This algorithm can be used to analyze the borrowing behavior of users in the library.
Xiaoying Zhang, Jian Zhang
doaj +1 more source
Research on sensor network optimization based on improved Apriori algorithm
Traditional node deployment strategies have problems such as slow deployment, small coverage, and poor service quality. Based on this, this study improves the traditional Apriori.
Qiang Ji, Shifeng Zhang
doaj +1 more source
Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems [PDF]
Frequent itemset mining leads to the discovery of associations and correlations among items in large transactional databases. Apriori is a classical frequent itemset mining algorithm, which employs iterative passes over database combining with generation
Zymbler, Mikhail
core +3 more sources
Market basket analysis of library circulation data [PDF]
“Market Basket Analysis” algorithms have recently seen widespread use in analyzing consumer purchasing patterns-specifically, in detecting products that are frequently purchased together.
Cunningham, Sally Jo, Frank, Eibe
core +2 more sources
Application of Improved Association Rules on Food Safety Early Warning(改进的关联规则在食品安全预警上的应用) [PDF]
In order to the effective application of the massive detection data in food safety early warning, this paper analyzed the characteristics of the food detection data, and the insufficient of traditional Apriori algorithm on food detection data, then ...
XIAO Kejing(肖克晶) +3 more
doaj +1 more source

