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Dropout rates for students in correspondence and open courses are on increase. There is a need of analysis of factors causing increase in dropout rate. The discovery of hidden knowledge from the educational data system by the effective process of data mining technology to analyze factors affecting student drop out can lead to a better academic planning and management to reduce students drop out from...
Data mining is used widely by enterprises to mine hidden knowledge from databases. However, mined data containing sensitive trade secret could jeopardize the enterprise's competitive edge. In this paper, we proposed an anti-data mining concept to allow readable mined data that only contained unimportant information. The proposed shaking random sampling interference algorithm (SRSI) inserts interference...
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