Multidimensional and Data Mining Analysis for Property Investment Risk Analysis

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.

Authors:

• Nur Atiqah Rochin Demong
• Jie Lu
• Farookh Khadeer Hussain

Keywords:

• Uncertainty factors
• data mining
• multidimensional data model
• risk analysis.

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