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Text Knowledge Mining: An Alternative to Text Data Mining

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4 Author(s)
D. Sánchez ; Dept. Comput. Sci. & A.I., Univ. of Granada E.T.S.I.I.T., Granada ; M. J. Martín-Bautista ; I. Blanco ; C. Justicia de la Torre

In this paper we introduced an alternative view of text mining and we review several alternative views proposed by different authors. We propose a classification of text mining techniques into two main groups: techniques based on inductive inference, that we call text data mining (TDM, comprising most of the existing proposals in the literature), and techniques based on deductive or abductive inference, that we call text knowledge mining (TKM). To our knowledge, the TKM view of text mining is new though, as we shall show, several existing techniques could be considered in this group. We discuss about the possibilities and challenges of TKM techniques. We also discuss about the application of existing theories in possible future research in this field.

Published in:

2008 IEEE International Conference on Data Mining Workshops

Date of Conference:

15-19 Dec. 2008