Visualization-aided personalized exploration of the real estate data

Li, M, Bao, Z, Sellis, T and Yan, S 2016, 'Visualization-aided personalized exploration of the real estate data', in Muhammad Aamir Cheema, Wenjie Zhang, Lijun Chang (ed.) Proceedings of the 27th Australasian Database Conference (ADC 2016), Sydney, Australia, 28-29 September 2016, pp. 435-439.


Document type: Conference Paper
Collection: Conference Papers

Title Visualization-aided personalized exploration of the real estate data
Author(s) Li, M
Bao, Z
Sellis, T
Yan, S
Year 2016
Conference name ADC 2016: Databases Theory and Applications
Conference location Sydney, Australia
Conference dates 28-29 September 2016
Proceedings title Proceedings of the 27th Australasian Database Conference (ADC 2016)
Editor(s) Muhammad Aamir Cheema, Wenjie Zhang, Lijun Chang
Publisher Springer
Place of publication Swtizerland
Start page 435
End page 439
Total pages 5
Abstract An efficient analysis of the real estate data is critical for citizens to understand the real estate market and seek appropriate properties to live in or rent. In this paper, after collecting data from different channels and integrating a location-centred comprehensive real estate dataset, we develop HouseSeeker, a visualization-aided analysis system for home-buyers to explore the real estate data, find appropriate properties based on their individual requirements, and compare properties/suburbs from different aspects to discover the strengths and weaknesses of each property/suburb. We demonstrate the effectiveness of our system based on a real-world dataset in Melbourne metropolitan area: it is able to help zero-knowledge users better understand local real estate market and find preferred properties based on their individual requirements. A preliminary implementation of the system is available at http://115.146.89.158/.
Subjects Database Management
Computer-Human Interaction
Keyword(s) Data Visualization
DOI - identifier 10.1007/978-3-319-46922-5_34
Copyright notice © Springer International Publishing AG 2016
ISBN 9783319469218
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