| Type of Material: | Thesis |
| Title: | Thesis on students performance predictor using multi channel classifier |
| Researcher: | Maniyar, Himanshu |
| Guide: | Bhadka, Harshad |
| Department: | Department of Computer Science |
| Publisher: | C.U. Shah University |
| Place: | Wadhwan |
| Year: | 2019 |
| Language: | English |
| Subject: | Engineering and Technology | Computer Science Information Systems | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, C.U. Shah University, Wadhwan; 2019 |
| Fulltext: | Shodhganga |
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| 001 | 451981 | |
| 003 | IN-AhILN | |
| 005 | 2024-01-24 15:27:26 | |
| 008 | __ | 240124t2019||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_451981 |
| 040 | __ | |aCUSU_363030|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aManiyar, Himanshu|eResearcher |
| 110 | __ | |aDepartment of Computer Science|bC.U. Shah University|dWadhwan|ein|0U-0708 |
| 245 | __ | |aThesis on students performance predictor using multi channel classifier |
| 260 | __ | |aWadhwan|bC.U. Shah University|c2019 |
| 300 | __ | |a164 p.|dCD |
| 502 | __ | |bPhD|cDepartment of Computer Science, C.U. Shah University, Wadhwan|d2019 |
| 518 | __ | |oDate of Award|d2019 |
| 518 | __ | |oDate of Registration|d2013 |
| 520 | __ | |aAbstractnewlineData mining refers to the set of techniques to derive hidden patterns from the large existing data. These patterns can be useful for the analysis and prediction purpose. Education data mining refers to the set of data mining applications in the education field. These applications refer to the analysis of students and teachers data. The analysis could be for the purpose of classification or prediction. In today s competitive world, it is essential for an institute to predict the performance of students, classify according to their skills and try to improve their performances in future examinations. Students could be informed well in advance to focus in a particular direction for the betterment of their academic performances. Such analysis helps an institute to reduce failure rates. This research work predicts students performances in a course, based on their previous performances in related courses. Association rule mining is used to find out a set of related subjects which are correlated wit |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aComputer Science Information Systems |
| 700 | __ | |aBhadka, Harshad|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/283169|yShodhganga |
| 905 | __ | |afromsg |
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