Juggapong Natwichai

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Data sharing between two organizations is common in many application areas e.g. business planing or marketing. Useful global patterns can be discovered from the integrated dataset. However, some sensitive patterns that should have been kept private could also be discovered. In general, disclosure of sensitive patterns could decrease the competitive ability(More)
In this paper, we propose a method of hiding sensitive classification rules from data mining algorithms for categorical datasets. Our approach is to reconstruct a dataset according to the classification rules that have been checked and agreed by the data owner for releasing to data sharing. Unlike the other heuristic modification approaches, firstly, our(More)
Privacy and security risks taken place from the application of different data mining techniques to great organizational data storehouses have been exclusively inspected by a new research domain, the so-called privacy preserving data mining. Association rule hiding is one of the privacy preserving techniques which study the problem of hiding sensitive(More)
This paper describes the development of a remote monitoring system for ECG signals. The system provides remote monitoring of several patients wearing a portable device equipped with ZigBee/IEEE RF module connective based on wireless sensor networks. We have designed to record on-line database, server computer used to analyze ECG signals and detect serious(More)
Privacy preserving has become an essential process for any data mining task. Therefore, data transformation to ensure privacy preservation is needed. In this paper, we address a problem of privacy preserving on an incremental-data scenario in which the data need to be transformed are not static, but appended all the time. Our work is based on a well-known(More)