Analysis Of The Application Case Based On Some Kinds Of Data Mining Algorithm

Nowadays, with the wide application and development of computer science and technology, massive data makes us do not know what course should to take, it is difficult to find the data in the potential relations and rules, and it is also difficult to according to the existing data to predict the future development trend, resulting in the "enable us to drown in the sea of data but the lack of the phenomenon of knowledge". In fact, a large number of data are often hidden behind many have decision-making useful information, if can through the data analysis of massive data, to find the potential link between them, it is possible to support our decision.Data mining, its definition is the analysis of the useful information from the massive data, it is found from a lot of actual application data, noisy, incomplete, fuzzy, stochastic implied in law, previously unknown, but potentially useful, and ultimately to make people understand the information and knowledge of non trivial process. The function of data mining include:classification, regression, clustering, prediction, time series analysis, summary, association rules, sequence of discovery etc..In the harsh market competition, many enterprises in order to be more objective grasp itself and the business situation, improve the internal management of enterprises and making efforts, managers hope to use the most effective tool for data analysis, to more of those who can assist management and decision value, information hiding in the data. In this paper, through the analysis of the related data were analyzed by using the data mining software, association rules, K-means algorithm, decision tree and Logistic regression model were used.