期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：58
期号：2
出版社：Journal of Theoretical and Applied
摘要：Pattern mining increases extra awareness due to its practical relevance in many fields, such as, biology, medicine and so on. Recently, a few researches have been presented in the literature about the mining of privacy preserving patterns. There are more number of data mining techniques developed to find out important information, yet the way of mining the data from the database is not concerned about the privacy. In this paper, we have selected the medical database and created the privacy on the patient�s medical database while the hospitals share their data to other organizations. In case of sharing the medical data, preserving the privacy of the data is also of importance as it may lead to violation of individual (patient) highly personal information. Based on the organizational need, the hospital can make the privacy on particular datum alone, say on type diseases. In that respective way, a choice is given to the hospital to where to make the privacy and this may vary depending on the organization. Here, we have made the privacy on four different types of diseases grouped as sensitive diseases, frequent diseases, seasonal diseases and geographical diseases. Privacy of the patient records are obtained by modifying the original database. Here, Prefix span algorithm was used for mining important diseases from the database. The result of mining was not worthy comparing the result with the original medical database. Finally the experimentation was made with the synthetic dataset and an analyzes on the difference among the four types of diseases while make the privacy in terms of the execution time, memory usage, was done.
关键词：Privacy Preserving; Medical Database; Prefix Span; Sensitive Diseases; Frequent Diseases; Seasonal Diseases And Geographical Diseases.
