Affiliation:
1. School of Economics and Management, Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu 210000, China
2. State Grid Taizhou Power Supply Company, Taizhou, Jiangsu 210000, China
3. ZTE Nanjing R&D Center, Nanjing, Jiangsu 210000, China
Abstract
With the rapid development of information technology, the amount of all kinds of data information is increasing rapidly. As an important means to collect, store, and manage massive data, and then analyze and predict the habits and characteristics of certain groups of people and even the development trend of a certain industry, big data technology provides a comprehensive strategic basis for management decision makers that the traditional processing mode cannot match. Contemporary management accounting serves the whole process of enterprise internal control, so it will produce a large number of various data. With the explosive growth of network data and the increasing scale of database, more and more people begin to study data mining, and the classification algorithm, as the key technology in data mining, has also received extensive attention. In order to further improve the information technology level of enterprise management accounting and increase the depth of information application, many enterprises began to pay more attention to data mining, and through deep data mining, the depth and breadth of enterprise data analysis were improved. In the research of data and accounting informatization, data mining technology accounts for about 50% of informatization, which is the way for future development. With the advent of the information age, the dependence of enterprises on information technology in the process of accounting management has been further improved. If enterprises want to achieve better development in the information age, they need to pay more attention to the information technology of management accounting and improve the application ability of enterprise staff in information.
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Reference24 articles.
1. Data mining techniques and applications – A decade review from 2000 to 2011
2. Statistics mining: methods and models;D. T. Larose;Technometrics,2007
3. Statistics mining algorithms: an overview;S. R. Joseph;Neuroscience,2016
4. Biclustering in data mining
5. Clustering for statistics mining: a statistics recovery approach;R. Leslie;Psychometrika,2007
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