A Multi-level Framework for the Analysis of Sequential Data (original) (raw)

Lecture Notes in Computer Science, 2006

Abstract

Abstract. Traditionally text mining has had a strong link with information retrieval and classification and has largely aimed to classify documents according to embedded knowledge. Association rule mining and sequence mining, on the other hand, have had a different goal; one of eliciting relationships within or about the data being mined. Recently there has been research conducted using sequence mining techniques on digital document collections by treating the text as sequential data. In this paper we propose a multi-level ...

Carl Mooney hasn't uploaded this paper.

Let Carl know you want this paper to be uploaded.

Ask for this paper to be uploaded.