Data Mining Techniques: Case Study

Abstract

database systems, data mining has been applied A relatively new and interdisciplinary area of in a variety of ways. The main goal of the data computer science is data mining. It is a method mining process is to take information from that looks for fresh patterns in huge data sets. In massive databases and organise it so that it may recent years, various scholars have presented be used later. The use of data mining techniques various kinds of mining algorithms. Due to the to glean information from vast amounts of data method's difficulties in finding appropriate data is growing in popularity in the education sector. types, a single algorithm may not be applicable to all applications. As a result, choosing the 2. DATA MINING TECHNIQUES right data mining technique depends not only on In general, data mining uses a variety of the application's objectives but also on how well algorithms and approaches to sift through the data set fits those objectives. How to employ enormous data sets and find intriguing patterns. appropriate data mining methods on educational The two types of data mining approaches are datasets is the focus of this research. The supervised learning and unsupervised learning. comparative comparison of various data mining Prior to the analysis, a model is constructed in approaches and algorithms is the main topic of supervised learning. After that, we run the this paper. algorithm on the data to estimate the model's parameters. Typical instances of supervised