Data Mining and It’s Approaches Towards Higher Education Solutions
Tripti Arjariya1, Shiv Kumar2, Rakesh Shrivastava3, Dinesh Varshney4

1Tripti Arjariya, Department of Computer Science and Engineering, Madhya Pradesh Bhoj (Open) University, Bhopal (M.P.), India.
2Shiv Kumar, Associate Professor, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.), India.
3Dr. Rakesh Shrivastava, Professor, Department of Higher Education, Govt. of Madhya Pradesh, Bhopal (M.P.), India.
4Dr. Dinesh Varshney, Professor, Multimedia Regional Center, Madhya Pradesh Bhoj (Open) University, Indore (M.P.), India.
Manuscript received on October 08, 2011. | Revised Manuscript received on October 22, 2011. | Manuscript published on November 05, 2011. | PP: 238-240 | Volume-1 Issue-5, November 2011. | Retrieval Number: E0207101511/2011©BEIESP
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Abstract: The major objective of the research is advancement of knowledge and theoretical understanding of the relations among variables for the study and development using data mining in higher education system and its solution for Madhya Pradesh state. New knowledge takes three main forms: Exploratory research: which structures and identifies new problems, Constructive research: develops solutions to a problem, Empirical research: tests the feasibility of a solution using empirical evidence. As per the research methodology, one can have two distinct methods of research either primary or secondary. This study is a survey type of research followed by the developmental study of data mining in higher education Madhya Pradesh state. The terms basic or fundamental indicate that, through theory generation, basic research provides the foundation for further, sometimes-applied research. As there is no guarantee of short-term practical gain, researchers may find it difficult to obtain funding for basic research. In this research we come to know that how the data mining approaches and issues are helpful for the development and the solutions of higher education in Madhya Pradesh state.
Keywords: Knowledge development, data mining approaches and issues, higher education system.