A METHOD OF EXTRACTING OBJECTS’ SIMILARITY KNOWLEDGE FROM DATABASES

Extracting and making use of the similarity knowledge automatically and efficiently from large databases can help to build more robust knowledge systems. This paper is concerned with the similarity comparisons of catalog data based on statistics, and a new method is proposed to extract and use the attribute similarity knowledge dynamically. The method has been used in case analyses in Beijing Public Security Bureau.