Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Modern Database Management
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Knowledge Discovery in Databases
Knowledge Discovery in Databases
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Combining case-based and model-based reasoning for predicting the outcome of legal cases
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
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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.