Micro View and Macro View Approaches to Discovered Rule Filtering

A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and may contain unreasonable facts. We try to develop a discovered rule filtering method to filter rules discovered by a data mining system to be novel and reasonable ones for the user by using information retrieval technique. In this method, we rank discovered rules according to the results of information retrieval from an information source on the Internet. In this paper, we show two approaches toward discovered rule filtering; micro view approach and macro view approach. The micro view approach tries to retrieve and show documents directly related to discovered rules. On the other hand, the macro view approach tries to show research activities related to discovered rules by using the results of information retrieval. We discuss advantages and disadvantages of micro view approach and possibilities of macro view approach by using an example ...

• Type: Conference
• Year: 2003
• Where: AMINING
• Authors: Yasuhiko Kitamura, Akira Iida, Keunsik Park
• Keywords: AMINING 2003, Data Mining, Macro View Approach, Micro View Approach, View Approach