Research on data resource management of biomass energy engineering based on data mining
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]
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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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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Parametric design method of building structured cabling system oriented to data mining
This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley +1 more source
Application of Improved Apriori Algorithm in Diagnosis of Abnormal Building Energy Consumption [PDF]
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]
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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Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
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A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset
Administrative procedures in various organizations produce numerous crucial records and data. These records and data are also used in other processes like customer relationship management and accounting operations.It is incredibly challenging to use ...
Yahya Asmar Zakur +2 more
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Improved Parallel Apriori Algorithm Based on Hash Storage and Transaction Weighting [PDF]
The Apriori algorithm can mine the association relationships between things,but the traditional Apriori algorithm needs to traverse the original transaction database every time the support of the candidate set is calculated,which reduces the efficiency ...
LI Jie, ZHU Hongliang, CHEN Yuling, XIN Yang
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Accelerating Apriori Algorithm of GPU Cluster Based on Hadoop Platform [PDF]
Aiming at the problem that the Apriori algorithm has limited computing power in the Hadoop platform,the GPU with Hadoop is combined with Hadoop,and a computing structure of GPU-Hadoop is proposed.Through the MapReduce framework of the Hadoop platform ...
QU Shiqi,LIU Shaojiang,NI Weichuan,YU Qingmao
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