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DATA MINING |
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Shandong University of Finance and Economics |
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Course Code:MZ140313 |
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Total Number of Instruction Hours: 34 |
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Number of Credits:2 |
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About this Course |
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This course is concerned with data mining - that is, finding interesting and useful patterns in large data repositories. It aims to provide you with up-to-date conceptual and practical knowledge on recent developments in data mining. At the end of this course, you will understand the main concepts, principles and techniques of data mining. For practical work you will be using a popular data mining package to analyse data of various forms, including transaction data, relational data and textual data. |
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Prerequisites and Preparation |
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Basic knowledge about Elementary Mathematics. |
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Course Goals |
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After completing this course, students should have developed a range of skills enabling them to understand data mining. |
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By the end of this course, students should be able to: |
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· Demonstrate advanced knowledge of data mining concepts and techniques. |
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· Apply the techniques of clustering, classification, association finding, feature selection and visualisation on real world data |
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· Determine whether a real world problem has a data mining solution |
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· Apply data mining software and toolkits in a range of applications |
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· Set up a data mining process for an application, including data preparation, modelling and evaluation |
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· Demonstrate knowledge of the ethical considerations involved in data mining. |
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Course Components and Requirements |
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· Assigned readings |
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· Lectures |
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· Group presentation |
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· One midterm exams |
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· Final Exam |
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Assigned Readings |
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Topical material and additional reading for class discussion may be assigned during the semester. |
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Deliverable and Grading |
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Method of evaluation and grading: |
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1)The group presentation which will be individually graded counts for 15% of the final course grade. |
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2)There will be one midterm exam which counts as 15% of the grade. |
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3)There will also be an essay as the final, which will ask the students to cover all of the course materials. This will count as the remaining 70% of the grade. |
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