Its-531-M40 Week 4 Bi Assignment

This study source was downloaded by 100000867488176 from CourseHero.com on 06-04-2023 14:32:24 GMT -05:00https://www.coursehero.com/file/198386184/Week-4-BI-Assignmentdocx/ 1Week 4 BI Assignment ,Aoun Haider, University of Cumberlands, Business Intelligence,(ITS-531-M40)Dr. Abiodun Adeleke (Abbey)2/2/2023This study source was downloaded by 100000867488176 from CourseHero.com on 06-04-2023 14:32:24 GMT -05:00https://www.coursehero.com/file/198386184/Week-4-BI-Assignmentdocx/2DQ1Data mining is a practice of extracting useful information from large datasets. It involves using sophisticated algorithms and software to identify patterns and relationships within datasets.In addition to extracting meaningful information, data mining can be used to make predictions and support decision-making. Different names like data analysis, knowledge discovery, predictive analytics, and machine learning often refer to data mining. These names are used to emphasize the different aspects of the data mining process (Sharda et al., 2021).. For example, 'data analysis' may refer to the process of understanding the data, 'knowledge discovery' may refer to the process of extracting meaningful information from the data, and 'predictive analytics' may refer to the process of using the data to make predictions. As data mining techniques become increasingly sophisticated and more widely used, the terms and definitions used to describe it will continue to evolve.DQ2Data mining is the progression of discovering patterns and insights from large datasets. It has become progressively prevalent in