ABSTRACT
Association rule algorithm and data mining technology can discover the hidden rules of many target data information, apply relevant technologies to budget management, mine and process the historical budget information and financial revenue and expenditure information of previous years, and can discover some hidden relevant information to guide the budget management of enterprises. This paper introduces the basic concept and algorithm flow of association rules, analyzes the Apriori algorithm in detail, and optimizes the association rule mining algorithm after introducing concept level and dimension level. Based on the idea of Apriori algorithm to optimize the enterprise budget management process, and build budget analysis and forecast model, which can conduct regression analysis based on historical financial data and forecast the revenue budget of the next year, which is used to guide enterprise budgeting. The model analysis results show that the budget forecasting model in this paper has higher accuracy and reliability than the traditional forecasting methods.
- Nzuva M S , Lawrence N . Prediction of Tea Production in Kenya Using Clustering and Association Rule Mining Techniques. American Journal of Computer Science & Information Technology, 2017, 05(02), pp. 58-71.Google Scholar
- Árpád Kovács. Rule-Based Budgeting: The Road to Budget Stability. The Hungarian Solution. 2017, pp. 224-275.Google Scholar
- Sardjono, W. , and T. L. Wijaya. Evaluation of Budgeting Management Information System at DKI Jakarta Forestry Service. 2018 International Conference on Information Management and Technology (ICIMTech), 2018, pp. 302-326.Google ScholarCross Ref
- Bittle B B . Sharing Power to Improve Population Health: Participatory Budgeting and Policy Making. Journal of public health management and practice: JPHMP, 2022, pp. 28-30.Google Scholar
- Feng H , Shen Z Z , Economics S O , Political Incentive, Taxation Plan and the Budget Revenue Forecast Error of Local Government——Evidence from Provincial Dynamic Panel Data Model. Journal of Yunnan University of Finance and Economics, 2015, pp. 79-101.Google Scholar
- Yang J R , Foundation D O . A Study on the Budget Forecast Status and Perfection in Budget Law. Journal of Yichun College, 2014, pp. 62-98.Google Scholar
- Siregar B , Susanti L . Determinants of Budget Forecast Errors and Their Impacts on Budget effectiveness: evidence from Indonesia. Journal of Economics Business and Accountancy Ventura, 2019, 21(3), pp. 44-78.Google ScholarCross Ref
- Bohn, F.. Getting Around Constitutional Limits To Fiscal Policy: A Model of Political Forecast and Budget Cycles. 2021, 23(01), pp. 245-279.Google Scholar
- Marundha A . Are Local Governments Overconfident With The Effect Of Budget Forecast Errors On Budget Deviation?[J]. Jurnal Tata Kelola & Akuntabilitas Keuangan Negara, 2020, 6(2), pp.179-188.Google ScholarCross Ref
- Barbashova N E . Approaches to the Modeling and Use of a Long-term Budget Projection at the Regional Level[J]. Finansovyj žhurnal — Financial Journal, 2022, 3(2), pp. 56-81.Google Scholar
- Akhoershaideh, Aho , N. Editorinchief , and D. N. Khan . "Public Budgeting in Jordan: Governance Structure and Budget Preparation Process." Journal of Social Sciences (COES&RJ-JSS), 2019, 8(5), pp. 103-122.Google Scholar
Index Terms
- Study on Budget Preparation and Forecast Model Based on Apriori Rule Algorithm
Recommendations
Mining Association Rules Based on Apriori Algorithm and Application
IFCSTA '09: Proceedings of the 2009 International Forum on Computer Science-Technology and Applications - Volume 01In the data mining research, mining association rules is an important topic. Apriori algorithm submitted by Agrawal and R. Srikant in 1994 is the most effective algorithm. Aimed at two problems of discovering frequent itemsets in a large database and ...
Study on the Discovery Algorithm of the Frequent Item Sets
ASIA '09: Proceedings of the 2009 International Asia Symposium on Intelligent Interaction and Affective ComputingData mining technology is an interdisciplinary which has developed rapidly at home. It involves database, statistics, artificial intelligence, machine learning and other fields. The popularity of computer use produced a large amount of data. Data mining ...
Mining Frequent Itemsets Using Improved Apriori on Spark
ICISDM '19: Proceedings of the 2019 3rd International Conference on Information System and Data MiningFinding the frequent itemset is one of the most investigated extents of data mining. The Apriori algorithm is the most established algorithm for frequent itemset mining, but it has issues regarding scanning frequent databases and generating a large ...
Comments