Kamaruddin, Siti Sakira and Hamdan, Abdul Razak and Abu Bakar, Azuraliza and Mat Nor, Fauzias (2009) Conceptual graph interchange format for mining financial statements. Rough Sets and Knowledge Technology, 5589. pp. 579-586. ISSN 0302-9743
Full text not available from this repository. (Request a copy)Abstract
This paper addresses the automatic transformation of financial statements into conceptual graph interchange format (CGIF).The method mainly involves extracting relevant financial performance indicators, parsing it to obtain syntactic sentence structure and to generate the CGIF for the extracted text.The required components for the transformation are detailed out with an illustrative example.The paper also discusses the potential manipulation of the resulting CGIF for knowledge discovery and more precisely for deviation detection.
Item Type: | Article |
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Uncontrolled Keywords: | Conceptual Graph Interchange Format; Deviation Detection; Information Extraction; Text Mining |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | College of Arts and Sciences |
Depositing User: | Dr. Siti Sakira Kamaruddin |
Date Deposited: | 02 Sep 2015 01:09 |
Last Modified: | 02 Sep 2015 01:09 |
URI: | https://repo.uum.edu.my/id/eprint/15355 |
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