Detection of Sensitive Information Leaks Using IBM LanguageWare Resource Workbench – Mgr. Zdeňka Sitová
Mgr. Zdeňka Sitová
Bachelor's thesis
Detection of Sensitive Information Leaks Using IBM LanguageWare Resource Workbench
Detection of Sensitive Information Leaks Using IBM LanguageWare Resource Workbench
Abstract:
UIMA is a standard for creating applications which extract information from unstructured text. Domain Extraction Model is a formal description of what is being searched for. In this thesis, we present CzFraudDEM, Domain Extraction Model for detection of sensitive information leaking in the bank sector. CzFraudDEM can find sensitive information (e.g. name or address) in unstructured text. We describe …moreAbstract:
UIMA je standard pro vytváření aplikací pro extrakci informace z nestrukturovaného textu. Doménový extrakční model je formální popis toho, co se hledá. V této bakalářské práci představujeme CzFraudDEM, doménový extrakční model pro detekci úniku citlivých informací v bankovnictví. CzFraudDEM dokáže najít citlivé informace, např. jméno nebo adresu, v nestrukutrovaném textu. V práci popisujeme proces …more
Language used: English
Date on which the thesis was submitted / produced: 3. 1. 2012
Identifier:
https://is.muni.cz/th/jfsm5/
Thesis defence
- Date of defence: 30. 1. 2012
- Supervisor: doc. RNDr. Aleš Horák, Ph.D.
- Reader: RNDr. Miloš Jakubíček, Ph.D.
Citation record
ISO 690-compliant citation record:
SITOVÁ, Zdeňka. \textit{Detection of Sensitive Information Leaks Using IBM LanguageWare Resource Workbench}. Online. Bachelor's thesis. Brno: Masaryk University, Faculty of Informatics. 2012. Available from: https://theses.cz/id/lv4q0t/.
Full text of thesis
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Published in Theses:- světu
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Informatics / Artificial Intelligence and Natural Language Processing
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