Evaluating the Performance of the Students in the Technical Education through Data Mining Technique

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Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
In order to understand how and why data mining works, it's important to understand a few fundamental concepts. Data mining relies on four essential methods: classification, categorization, estimation, and visualization. Classification identifies associations and clusters, and separates subject under study. Categorization uses rule induction algorithms to handle categorical outcomes, such as \"Persist\" or \"Dropout,\" and \"Transfer\" or \"Stay\". Visualization uses interactive graphs to demonstrate mathematically induced rules and scores, and is far more sophisticated than pie or bar charts.
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