Applying data mining and XML technology to build a web-based house trading and matching system
Chung C. Chang, Fang-Fu Chu · 2007
Abstract:- Data mining has been widely applied in many fields. However, few applications at present apply it to house trading and matching. This paper is to present one of the techniques of data mining called the nearest neighbour algorithm as well as XML technology to build a Web-based house trading and matching system. The nearest neighbour algorithm is a pragmatic and highly accurate algorithm and can be used in the matching system. Its use could enhance the system’s matching ability so that users can easily obtain the information they need. This paper offers a better way to get beyond the disadvantages of the traditional conditional or Boolean method that real estate agencies use to search for appropriate houses. Through improving the traditional but inefficient approach to searching, users will not waste much time without getting useful information or good offers of real estate. In addition, this research employs XML technology to the system so that data or documents can be transferred among different computer platforms.