Determining the accuracy of budgets : a machine learning application for budget change pattern recognition
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Summary
Determining the accuracy of budgets : a machine learning application for budget change pattern recognition is a master's thesis[1].
Key Facts
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's instance of is recorded as a machine learning application for budget change pattern recognition — instance of (P31): master's thesis[2].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition was published by a machine learning application for budget change pattern recognition — publisher (P123): Research Bank[3].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's language of work or name is recorded as a machine learning application for budget change pattern recognition — language of work or name (P407): English[4].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's country of origin is recorded as a machine learning application for budget change pattern recognition — country of origin (P495): New Zealand[5].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition was published on 2012[6].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): pattern recognition[7].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): small and medium enterprises[8].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): data mining[9].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): machine learning[10].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): small business[11].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): financial ratio[12].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's main subject is a machine learning application for budget change pattern recognition — main subject (P921): financial forecast[13].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's work available at URL is recorded as https://www.researchbank.ac.nz/handle/10652/2036[14].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's title is recorded as Determining the accuracy of budgets : a machine learning application for budget change pattern recognition[15].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's author name string is recorded as Kai Leung Yip[16].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's thesis submitted to is recorded as a machine learning application for budget change pattern recognition — thesis submitted to (P4101): Unitec Institute of Technology[17].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's on focus list of Wikimedia project is recorded as a machine learning application for budget change pattern recognition — on focus list of Wikimedia project (P5008): NZThesisProject[18].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's copyright status is recorded as a machine learning application for budget change pattern recognition — copyright status (P6216): copyrighted[19].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's online access status is recorded as a machine learning application for budget change pattern recognition — online access status (P6954): open access[20].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's thesis committee member is recorded as a machine learning application for budget change pattern recognition — thesis committee member (P9161): Paul Pang[21].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's thesis committee member is recorded as a machine learning application for budget change pattern recognition — thesis committee member (P9161): Xiaohui Zhao[22].
- Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's thesis submitted for degree is recorded as a machine learning application for budget change pattern recognition — thesis submitted for degree (P13338): Master of Computing[23].
Body
Designation and Status
Determining the accuracy of budgets : a machine learning application for budget change pattern recognition's instance of is recorded as a machine learning application for budget change pattern recognition — instance of (P31): master's thesis[2].