DocumentCode :
2131155
Title :
Text Knowledge Mining: An Alternative to Text Data Mining
Author :
Sanchez, Dominick ; Martin-Bautista, Maria J. ; Blanco, I. ; Torre, C.
Author_Institution :
Dept. Comput. Sci. & A.I., Univ. of Granada E.T.S.I.I.T., Granada
fYear :
2008
fDate :
15-19 Dec. 2008
Firstpage :
664
Lastpage :
672
Abstract :
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.
Keywords :
data mining; text analysis; abductive inference; inductive inference; text data mining; text knowledge mining; Calcium; Communication networks; Computer science; Conferences; Data mining; Data structures; Informatics; Magnesium; Stress; Text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-0-7695-3503-6
Electronic_ISBN :
978-0-7695-3503-6
Type :
conf
DOI :
10.1109/ICDMW.2008.57
Filename :
4733992
Link To Document :
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