DIU-BLC
Data Mining (Spring 20)
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Course Outline
Data Mining CSE450
Announcements
Course Contents
Course Outline
Lecture-1-Supervised vs unsupervised
Lecture-2-Data-Preparation
Lecture-3-Classification-and-Prediction
Lecture-3-Practice note
Lecture-4-Classification-Decision-Trees
Lecture-5-Association Analysis
Lecture-5-Classification-Bayesian
E-book
Data Mining Concepts and Techniques
Data Mining The Textbook - Aggarwal 2015
Data mining with python - Nielsen 2017
Introduction to data mining
Hand Notes
Hand Note
Quiz Questions - Tentative Dates
Quiz 1 - CSE450
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Course Overview
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Data Mining CSE450
1
Announcements
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Course Contents
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Course Outline
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Lecture-1-Supervised vs unsupervised
File
Lecture-2-Data-Preparation
File
Lecture-3-Classification-and-Prediction
File
Lecture-3-Practice note
File
Lecture-4-Classification-Decision-Trees
File
Lecture-5-Association Analysis
File
Lecture-5-Classification-Bayesian
File
E-book
3
Data Mining Concepts and Techniques
File
Data Mining The Textbook - Aggarwal 2015
File
Data mining with python - Nielsen 2017
File
Introduction to data mining
File
Hand Notes
4
Hand Note
File
Quiz Questions - Tentative Dates
5
Quiz 1 - CSE450
File
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Data Mining (Spring 20)
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Courses
DIU
Faculty of Science and Information Technology
Computer Science and Engineering
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CSE 450 (MR-201)
Course Contents
Course Outline
Course Outline
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Course Outlines - MUR.pdf
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Announcements
Lecture-1-Supervised vs unsupervised
Lecture-2-Data-Preparation
Lecture-3-Classification-and-Prediction
Lecture-3-Practice note
Lecture-4-Classification-Decision-Trees
Lecture-5-Association Analysis
Lecture-5-Classification-Bayesian
Data Mining Concepts and Techniques
Data Mining The Textbook - Aggarwal 2015
Data mining with python - Nielsen 2017
Introduction to data mining
Hand Note
Quiz 1 - CSE450
Next Activity