Associational approach of text data mining and its implications

Data mining aims to excavate new knowledge from existing information. When it comes to text mining, a better way is to take the context into account. The association rule, a method gaining increasing currency among scholars, enables multiple classifications of a same set of high frequency words and achieves high performance even with unstructured text data in terms of retrieval efficiency and explanatory power of the final results. In this paper, the process of text data mining approach will be discussed. A case study from Tzu Chi University in Taiwan will be used to demonstrate the implication of this approach.