SWCTE: Semantic weighted context tagging engine for privacy preserving data mining


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Nethravathi, N.P. and Rao, P.G. and Desai, V.J. and Shenoy, P.D. and Venugopal, K.R. and Indiramma, M. (2017) SWCTE: Semantic weighted context tagging engine for privacy preserving data mining. In: Proceedings of the 2016 International Conference on Data Science and Engineering, ICDSE 2016, 23 August 2016 through 25 August 2016, Cochin.

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Official URL: https://doi.org/ 10.1109/ICDSE.2016.7823968


Privacy Preserving in Data Mining is a very important area which deals with hiding an individual's sensitive data without affecting the usability of data. In this paper, we put forward a technique to provide privacy preservation of sensitive data based on the semantic context. Our approach encapsulates various techniques of Text-processing, keyphrase extraction, Cooccurrence analysis, ontology construction and query analysis. To handle privacy issues Correlation Based Transformation Strategy (CBTS) is performed on sensitive data, additionally we can add custom properties to the attributes of the ontology to indicate the sensitive data. Our experimental results indicate that our solution is effective in marking the private data using the semantic context of the input text. The main goal of our work is to construct a module which acts as an intermediate step in pre-processing for data mining while preserving the privacy. © 2016 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: cited By 1
Uncontrolled Keywords: Data handling; Data mining; Glossaries; Metadata; Ontology; Query processing; Semantic Web; Semantics; Text processing, CBTS; Co-occurrence analysis; Context tagging; Key-phrase; Privacy preserving, Data privacy
Subjects: Faculty of Engineering > Electrical Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Electrical Engineering
Depositing User: Dr. M Anjanappa
Date Deposited: 13 Jun 2018 09:46
Last Modified: 13 Jun 2018 09:46
URI: http://eprints-bangaloreuniversity.in/id/eprint/8338

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