Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function
The rapid increase in the amount of textual data has brought forward a growing research interest towards mining text to detect deviations. Specialized methods for specific domains have emerged to satisfy various needs in discovering rare patterns in text. This paper focuses on a graph-based approach...
Saved in:
Main Authors: | Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias |
---|---|
Format: | Article |
Language: | English |
Published: |
IOS Press
2012
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/15356/1/ida%252F2012%252F16-3%252FIDA00535.pdf http://repo.uum.edu.my/15356/ http://dx.doi.org/10.3233/IDA-2012-0535 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Conceptual graph interchange format for mining financial statements
by: Kamaruddin, Siti Sakira, et al.
Published: (2009) -
Dissimilarity algorithm on conceptual graphs to mine text outliers
by: Kamaruddin, Siti Sakira, et al.
Published: (2009) -
Conceptual graph formalism for financial text representation
by: Kamaruddin, Siti Sakira, et al.
Published: (2008) -
Conceptual graph formalism for financial text representation
by: Kamaruddin, Siti Sakira, et al.
Published: (2008) -
Representation of exceptional sentence using conceptual graph interchange format
by: Alsanousi, Suaad Abdelsalam, et al.
Published: (2017)