Abstract
Function mining aims to discover valid functions from various data which seem not related. Nowadays, the results of most mining algorithms are not capable to characterize the things fully, because the algorithms aim at one simple function, meanwhile, another one can achieve this task, but its efficiency is very low because of the too much iteration. The paper presents one new algorithm named interest-based function set mining algorithm (IFSM), it applies the user's experience, expectations and prior knowledge to the mining process. IFSM succeeds in improving the description and enhancing the mining efficiency and quality.
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