Determining the accuracy of budgets : a machine learning application for budget change pattern recognition
Yip, Kai Leung
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Citation:Yip, K. L. (2012). Determining the accuracy of budgets : a machine learning application for budget change pattern recognition. (Unpublished document submitted in partial fulfilment of the requirements for the degree of Master of Computing). Unitec Institute of Technology. Retrieved from https://hdl.handle.net/10652/2036
Permanent link to Research Bank record:https://hdl.handle.net/10652/2036
With the aid of open-sourced database and software libraries, we developed a data mining software prototype for SME business intelligent budgeting planning. The experiment demonstrates the existence of the change pattern of ﬁnancial variables for a certain SME industry group. A budget inaccuracy alarm system is developed. The system classiﬁes a budget whether viable or inviable. As a result, SME businesses or non-proﬁt organisations can make better decisions by improving forward looking ﬁnancial analysis. This allows them to immediately develop contingency measures, revise the policy and get the business back on the right track. This has been a long-desired function needed by a business or a bank.