Multidimensional Analysis and Data Mining for Property Investment Risk Analysis

Publisher:
World Academy of Science, Engineering and Technology
Publication Type:
Conference Proceeding
Citation:
International Conference on Information Systems (ICIS 2012), 2012, pp. 118 - 123
Issue Date:
2012-01
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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 expertâs opinion to measure the uncertainty of the risk factors for the risk analysis. Therefore, different level of expertsâ 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.
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