Title :
Study on Application of Apriori Algorithm in Data Mining
Author_Institution :
Sch. of Sci., Changchun Univ., Changchun, China
Abstract :
With the rapid development of networks and information technology, the endless information has paid more and more attention by people. While in the pursuit of information with high speed, the analysis and mining of the information and rules hidden deep in the data are also paid more emphasis. Data mining technology is to organize and analyze the data, which can extract and discover knowledge from the mass of data, so how to apply the data mining technology into enterprise stock management is the focus of this topic studied. In this paper, combining with data mining theory, Apriori algorithm in association rule mining algorithm is described in detail, the algorithm implementation process is illustrated, and the improved methods of the algorithm are discussed.
Keywords :
data mining; stock markets; Apriori algorithm; association rule; data mining; enterprise stock management; knowledge discovery; knowledge extraction; Application software; Association rules; Computational modeling; Computer simulation; Data mining; Dictionaries; Information analysis; Information technology; Machine learning algorithms; Transaction databases; Apriori algorithm; data mining; information extraction;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.398