Multidimensional Analysis and Data Mining for Property Investment Risk Analysis

Demong, NA; Lu, J; Hussain, FK

Multidimensional Analysis and Data Mining for Property Investment Risk Analysis

Demong, NA Lu, J

Hussain, FK

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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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Field	Value	Language
dc.contributor.author	Demong, NA	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.editor	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.editor	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.date	2012-12-06	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	International Conference on Information Systems (ICIS 2012), 2012, pp. 118 - 123	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30853
dc.description.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 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.	en_US
dc.publisher	World Academy of Science, Engineering and Technology	en_US
dc.relation.ispartof	International Conference on Information Systems (ICIS 2012)	en_US
dc.relation.ispartof	International Conference on Information Systems	en_US
dc.title	Multidimensional Analysis and Data Mining for Property Investment Risk Analysis	en_US
dc.type	Conference Proceeding
utslib.location	World Academy of Science, Engineering and Technology	en_US
utslib.location.activity	Penang, Malaysia	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Penang, Malaysia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2012-12-07	en_US
pubs.place-of-publication	World Academy of Science, Engineering and Technology	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2012-12-06	en_US

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 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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http://hdl.handle.net/10453/30853