A Chinese Conception Sets-Generating Algorithm Based on Association Rule

This paper proposes a Chinese conception sets-generating algorithm based on association rule. The authors adopt VSM(vector space model) to represent document. Each keyword corresponds to a transaction and each document corresponds to a transaction-item. The authors use the association rules discovery algorithm to find the frequency Chinese conception sets, and use k-means clustering algorithm to cluster the original conception sets. Noteworthily, this algorithm can introduce the characteristic of increment updating to generate conception sets. The experiment results show this algorithm is effective for generating the Chinese conception sets.