DATA MINING AND DATA WAREHOUSE (IT-446) Discussion Board Purpose To illustrate importance of data mining and its usage. Showing the benefits of data mining and express a real-life example. In this discussion board, you will post your answer to the topic. You will also read and respond to other classmates postings. This is an excellent way for you to interact with your colleagues and to share your thoughts about the topic in a critical way. Topic of Discussion Discuss how the potential of the data WAREHOUSE can be harnessed using data mining techniques supporting with a real-life example. Also discuss one algorithm each to handle categorical and numerical data. Submission Instructions • Post your discussion, examples, ideas, and discussions on this topic on the blackboard. • You are required to write at least ONE original post and at least TWO responses giving useful comments on a post uploaded by your classmates. • Short responses such as (agree, disagree, correct, etc.) will NOT be acceptable. • Post your topic and your comments on your classmate's topics before 26/Jun/2022 @ 23:59 Due date: 26-Jun-2022 @ 23:59 Published date: 19-Jun-2022 Total Marks: 3 marks Marking Criteria For your Original Post: Maximum 2 marks (1 mark for the benefits, and 1 mark for real-life example) For your Responses: Maximum 0.5 mark for each response, total 1 mark (for meaningful feedback to one classmate) Important notice Please note that any copy and paste from the Internet leads to a zero mark in this discussion board.
DATA MINING AND DATA WAREHOUSE (IT-446) Discussion Board Purpose To illustrate importance of data mining and its usage. Showing the benefits of data mining and express a real-life example. In this discussion board, you will post your answer to the topic. You will also read and respond to other classmates postings. This is an excellent way for you to interact with your colleagues and to share your thoughts about the topic in a critical way. Topic of Discussion Discuss how the potential of the data WAREHOUSE can be harnessed using data mining techniques supporting with a real-life example. Also discuss one algorithm each to handle categorical and numerical data. Submission Instructions • Post your discussion, examples, ideas, and discussions on this topic on the blackboard. • You are required to write at least ONE original post and at least TWO responses giving useful comments on a post uploaded by your classmates. • Short responses such as (agree, disagree, correct, etc.) will NOT be acceptable. • Post your topic and your comments on your classmate's topics before 26/Jun/2022 @ 23:59 Due date: 26-Jun-2022 @ 23:59 Published date: 19-Jun-2022 Total Marks: 3 marks Marking Criteria For your Original Post: Maximum 2 marks (1 mark for the benefits, and 1 mark for real-life example) For your Responses: Maximum 0.5 mark for each response, total 1 mark (for meaningful feedback to one classmate) Important notice Please note that any copy and paste from the Internet leads to a zero mark in this discussion board.
Database Systems: Design, Implementation, & Management
12th Edition
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Carlos Coronel, Steven Morris
Chapter4: Entity Relationship (er) Modeling
Section: Chapter Questions
Problem 10P
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