@article{(Open Science Index):https://publications.waset.org/pdf/653, title = {Multidimensional and Data Mining Analysis for Property Investment Risk Analysis}, author = {Nur Atiqah Rochin Demong and Jie Lu and Farookh Khadeer Hussain}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {6}, number = {12}, year = {2012}, pages = {1660 - 1665}, ee = {https://publications.waset.org/pdf/653}, url = {https://publications.waset.org/vol/72}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 72, 2012}, }