An application of text mining: bibliographic navigator powered by extended association rules

In this paper, we discuss the implementation and performance of our developed bibliographic navigator with the text mining. We categorize the different attributes and extend the mining association algorithms and in order to provide mole helpful rules. By our proposed algorithm, more interesting rules are derived from relationships between several categorized attributes in bibliographic databases such as INSPEC. We also evaluate the performance of our proposed algorithms on our developing bibliographic navigator and discuss the improvements of our navigator.