Font Size: a A A

Application Of Improved Temporal Association Rules In Financial Performance Analysis

Posted on:2010-08-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z G HuangFull Text:PDF
GTID:2189360275456513Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
The time attribute has been little taken into account in traditional association rules. In fact,each association rule is a rule with intervals that the rule holds;especially it is more sensitive to the relativity between financial data and time attribute.Therefore,it is better to describe the objective reality of the situation through mining temporal association rules,which can help to reveal the nature of the development of the law of things,to find knowledge in a more practical significance.Association rules with time constraints calls temporal association rules,which has been applied into many fields as a new subject in data mining.Financial performance analysis is an analytic system with inherent time attribute,which is a new field with the application of mining temporal association rules.Financial performance analysis is a unity of analysis and synthesis for budget management,comparison of financial input and output,the efficiency and structure of expenditure and financial capital and a moderate level of economic development,scale and speed of financial funds and so on.It is the specific perform of ability to deal with reality and controlling the financial reality for local governments.If financial performance analysis does not consider the time factor,it is impossible to correctly understand the effectiveness of fiscal revenue and expenditure of funds,and we can not also accurately reflect the financial performance of the inherent law,there would be no practical significance.For example,a specific time interval for the financial expenditure in the sudden increase in a traditional analysis would ignore the rationality of its inherent,and the work of this article can be found from such abnormality of the inevitability of its actual existence and laws of,and to obtain more valuable information. It will have very important significance to financial policy for the next step using the information summary report of financial performance analysis based on temporal association rule mining.For the above problem,this paper improve the method of mining discrete attributes with temporal cycle of the temporal association rule applies to the field of financial performance analysis.On the basis of further study of other association rules mining algorithms,this paper has developed Apriori-extended mining periodic temporal association rules(MPTAR) accord to the especial periodicity of financial data.And this algorithm has been used in the field of financial performance analysis,and given the financial performance analysis summary report.Compared with the traditional mining rules methods,it has many other advantages such as objective reality,highly technical,a large of information and strong guidance.The major work of this paper is:1.Generalize and analyze roundly financial performance of content system.2.Propose the periodic law of financial performance data,and disperse the financial performance data.3.On the basis of further study of financial performance data with inherent time attribute,this paper has developed Apriori-extended mining periodic temporal association rules(MPTAR).4.In this paper,the results of MPTAR algorithm will be used into practice:1) obtained the successful and effective application in the financial performance analysis; 2) given the financial performance analysis summary report.
Keywords/Search Tags:data mining, temporal association rules, financial performance, Apriori-algorithm
PDF Full Text Request
Related items