@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
	    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},