ARTICLE INFO ABSTRACTAssociation rule mining technique is useful for extracting useful relation from the given dataset. In today's scenario data mining technique is performed on medical dataset to find out a pattern on relative attributes. In this this paper Apriory algorithm is used of association rule mining technique to find out patterns. List of probable medical attributes has been finalized through survey for creating dataset. Dataset created mainly for the age group of 20 to 45 years. Total 26 attributes finalized and 131 input was taken through google form for crating database to decide highly sensitive, average sensitive, low sensitive and not sensitive attribute. This approach was studied using weka [8] tool.
India is an attractive target for crackers due to high internet and technology penetration growth and limited awareness among the users. It creates moral, civil, and criminal issues in cyber space and it resulted into increase in the cyber crime. But awareness about the cyber law is an often overlooked factor among netizens. Even many stack holders of the computer science are not aware about the cyber law of the country, they are enhancing their technical skills by various means but sadly they are not serious about getting knowledge about cybercrime and cyber law. It necessitated information security awareness among the netizens. In this paper, we have conducted one survey to check cyber law awareness statistics among professionals associated with IT domains. The paper presents the result of a survey conducted and provides the recommendations for improving general awareness of cyber law in India.
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