Show simple record

dc.contributor.authorYip, Kai Leung
dc.description.abstractWith 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.en_NZ
dc.subjectbudget change pattern tecognitionen_NZ
dc.subjectbusiness planningen_NZ
dc.subjectdata miningen_NZ
dc.subjectfinancial forecasten_NZ
dc.subjectfinancial ratioen_NZ
dc.subjectfinancial variableen_NZ
dc.subjectgovernment budgeten_NZ
dc.subjectintelligent budgetingen_NZ
dc.subjectmachine learningen_NZ
dc.subjectsmall and medium-sized enterprises (SMEs)en_NZ
dc.subjectsmall businessesen_NZ
dc.titleDetermining the accuracy of budgets : a machine learning application for budget change pattern recognitionen_NZ
dc.typeMasters Thesisen_NZ of Computingen_NZ Institute of Technologyen_NZ
dc.subject.marsden080109 Pattern Recognition and Data Miningen_NZ
dc.identifier.bibliographicCitationYip, 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 (Unpublished document submitted in partial fulfilment of the requirements for the degree of Master of Computing).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
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
unitec.advisor.principalPang, Paul
unitec.advisor.associatedZhao, Xiaohui

Files in this item


This item appears in

Show simple record

© Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142