Data Mining Techniques for the Assessment of Factors Contributing to the Damage of Residential Houses in Australia

This paper reports on the preparation and management processes of inconsistent dataon damage on residential houses in Victoria, Australia. There are no existingspecific and fully relevant databases readily available except for the incompletepaper-based and electronic-based reports. Therefore, the extracting of informationfrom the reports is complicated and time consuming in order to extract and includeall the necessary information needed for analysis of damage on residential housesfounded on expansive soils. Data mining is adopted to develop a database. Statisticalmethods and Artificial Intelligence methods are used to quantify the quality of data.The paper concludes that the development of such database could enable BHC toevaluate the usefulness of the reports prepared on the reported damage properties forfurther analysis