WEB MINING FOR ESTIMATING AND MONITORING REAL-ESTATE PRICE INDEXES FROM FLORIANÓPOLIS
Abstract
Digital databases - including those also known as big databases - are rich and yet little explored as knowledge sources. Every day, with the advancement of the digital age and the popularization of the internet, quantities and varieties of new data are generated, stored and made available with speed. As a central element, the Internet as a Data Source is an emerging concept that has been perceived as a competitive gain opportunity for companies. This concept has also been proved as efficient to the decision-making process for construction and implementation of public policies. In this context, this article aims to explore Knowledge Engineering techniques on the transformation of digital data available on the internet into knowledge for guiding decision-making processes of agents involved with the residential real estate market and its socioeconomic developments. The proposal collects – trough a web crawler – for sale residential real estate ads from Florianópolis, Brazil, and provides price indexes and related statistics in an interactive visualization tool – a system titled "Tá bombando, querido!".
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