TY - JFULL AU - Nur Atiqah Rochin Demong and Jie Lu and Farookh Khadeer Hussain PY - 2012/1/ TI - Multidimensional and Data Mining Analysis for Property Investment Risk Analysis T2 - International Journal of Computer and Information Engineering SP - 1659 EP - 1665 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/653 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 72, 2012 N2 - Property investment in the real estate industry has a high risk due to the uncertainty factors that will affect the decisions made and high cost. Analytic hierarchy process has existed for some time in which referred to an expert-s opinion to measure the uncertainty of the risk factors for the risk analysis. Therefore, different level of experts- experiences will create different opinion and lead to the conflict among the experts in the field. The objective of this paper is to propose a new technique to measure the uncertainty of the risk factors based on multidimensional data model and data mining techniques as deterministic approach. The propose technique consist of a basic framework which includes four modules: user, technology, end-user access tools and applications. The property investment risk analysis defines as a micro level analysis as the features of the property will be considered in the analysis in this paper. ER -