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...

詳細記述

保存先:
書誌詳細
主要な著者: Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias
フォーマット: 論文
言語:English
出版事項: IOS Press 2012
主題:
オンライン・アクセス: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
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