Text Mining Using the Hierarchical Syntactical Structure of Documents

One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets have been developed in the context of both databases and text collections. In this work, the hierarchical syntactical structure’s concept is introduced, which supplies an unexplored dimension in the task of describing and analysing text collections. Based on this conceptual framework, we propose an efficient algorithm for calculating all the maximal frequent itemsets, which includes either the Feldman’s or the Ahonen’s concept of frequency depending on the practical application.

• Type: Conference
• Year: 2003
• Where: CAEPIA
• Authors: Roxana Dánger, José Ruiz-Shulcloper, Rafael Berlanga Llavori
• Keywords: CAEPIA 2003, Maximal Frequent Itemsets, Syntactical Structure Concept, Text Collections