GPU-Accelerated Apriori Algorithm [PDF]
ITM Web of Conferences, 2017 This paper propose a parallel Apriori algorithm based on GPU (GPUApriori) for frequent itemsets mining, and designs a storage structure using bit table (BIT) matrix to replace the traditional storage mode. In addition, parallel computing scheme on GPU is
Jiang Hao +3 more
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Apriori Algorithm and Hybrid Apriori Algorithm in the Data Mining: A Comprehensive Review [PDF]
E3S Web of Conferences, 2023 Data mining has the potential to empower healthcare organizations by allowing them to analyze various aspects of patient information and discover connections between seemingly unrelated data.
Zakur Yahya, Flaih Laith
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Research on personalized distance education recommendation system based on deep learning [PDF]
Scientific ReportsOnline learning environments must be personalized with intelligent systems that propose courses according to learners’ individual preferences, activity patterns, and proficiency levels.
Xia Yang
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Study on urban residents’ travel mode choice based on the CART-Apriori method [PDF]
Scientific ReportsThis study was conducted to investigate the travel behavior of residents in a medium-sized Chinese city, with the goal of exploring travel characteristics and identifying the key factors influencing urban travel mode choices.
Hui Song +4 more
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Research on operation fault diagnosis algorithm of power grid equipment based on power big data [PDF]
Archives of Electrical Engineering, 2020 Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the
Jianguo Qian +3 more
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Research on data resource management of biomass energy engineering based on data mining
Energy Reports, 2022 In order to improve the information management level of biomass energy industry, it is necessary to build and improve the data resource management platform of biomass energy engineering, so as to grasp the detailed operation status and production ...
Yang Le
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Using Data Mining Techniques to Diagnosis of the Covid-19 Effects on the Hospital Readmission [PDF]
E3S Web of Conferences, 2023 The COVID-19 pandemic led to a substantial increase in the volume, diversity, and output pace of healthcare data. Countries depended on traditional methods to monitor diseases and public health to manage the epidemic, while advanced technology such as ...
Zakur Yahya +2 more
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Matrix: Jurnal Manajemen Teknologi dan Informatika, 2023 The popular association rule algorithms are Apriori and fp-growth; both of these algorithms are very familiar among data mining researchers; however, there are some weaknesses found in the association rule algorithm, including long dataset scans in the ...
Moch. Syahrir, Lalu Zazuli Azhar Mardedi
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Application of Improved Apriori Algorithm in Diagnosis of Abnormal Building Energy Consumption [PDF]
E3S Web of Conferences, 2021 The analysis of building abnormal energy consumption is of great significance to the effective energy saving of buildings. To apply the relationship between the running status of building equipment and energy consumption to the diagnosis of abnormal ...
Wang Yanwei +4 more
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Combines the Apriori and FCM Algorithm to Improve the Extracted Association Rules with Determine the Minimum Support Automatically [PDF]
Journal of Information Technology Management, 2015 Apriori algorithm is the most popular algorithm in association rules mining. One of the problems the Apriori algorithm is that the user must specify a minimum support threshold.
Heydar Jafarzadeh +2 more
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