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- W2560572225 abstract "1 Archana Sharma, 2 Prof. Vibhakar Mansotra, 3 Rhea Mahajan 1 Department of Computer Application, Jodhpur National University, Jodhpur, Rajasthan, India. 2 Department of Computer Science & IT, University of Jammu, Jammu, India. 3 Department of Computer Engineering.Yogananda College Of Engineering and Technology, India. _________________________________________________________________________________________ Abstract: The new interesting subject that offered by institution to interact more student is “DATA MINING”. In this paper we will discuss about the problem that are faced by students how to choose the best institutes for learning. One of the biggest challenges that student’s faced tough time selecting the right engineering college that opens doors to exciting careers. Students would like to know, which college provides better quality education and its alumni are successful in the real world. Data Mining helps to students to take decision more accurately. Data mining is better tool to predict the general information of the college, courses offered and no. of seats, selection criteria, infrastructure, faculty performance, industry interface, placement, and potential to network, exchange programs and global exposure and national and international alumni chapter. In this paper we will discuss about data mining, their different phase’s, advantages and also we classify data using weak data mining tool which helps to understand the data. In this paper we will use decision tree algorithm to predict the status of colleges, faculty performance, student feedback, student performance, infrastructure, placements and emotion states of students. Key terms: Induction Algorithm, Knowledge Discovery, Information Gain _________________________________________________________________________________________" @default.
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- W2560572225 date "2015-01-01" @default.
- W2560572225 modified "2023-09-27" @default.
- W2560572225 title "Applying Data Mining in Higher Education Sector" @default.
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