2018 International Conference on Advanced Electronic Materials, Computers and Materials Engineering | |
Data Mining and Business Process Management of Apriori Algorithm | |
材料科学;无线电电子学;计算机科学 | |
Suzhen, Qiu^1 | |
NanNing University, GuangXi | |
530200, China^1 | |
关键词: Application of information technologies; Apriori algorithms; Business process management; Data mining algorithm; Data relationships; Decision making process; Mining associations; Relational Database; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/439/3/032012/pdf DOI : 10.1088/1757-899X/439/3/032012 |
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来源: IOP | |
【 摘 要 】
The classical association rule data mining algorithm Apriori algorithm is widely used in various fields. Through the analysis and mining of data relevance, the information extracted has important reference value in the decision-making process. The continuous promotion and application of information technology, how to make full use of this data information to provide decision support for decision maker in various industries have become an urgent and thorny issue. In addition to using the existing relational database standard query statements to obtain general and intuitive information, It is necessary to mine the data relationships that are contained, unknown, and actually exist. The famous Apriori algorithm is an algorithm for mining association rules. In this paper, through the basic idea of Apriori algorithm, the embedded data relationship is mined and Apriori algorithm is implemented.
【 预 览 】
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Data Mining and Business Process Management of Apriori Algorithm | 261KB | download |