Big Data & Coding (Open Course)
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00-DM-Overview
0.00-Assignments Guideline
Pang-Ning Tan, Michael Steinbach, Vipin Kumar-Introduction to Data Mining-Pearson (2013)
Pang-Ning Tan-Introduction to Data Mining-Pearson (2013)
ch3 classification
ch5 association analysis
ch7 clustering
Daniel T. Larose, Chantel D. Larose-Discovering Knowledge in data An Introduction to Data Mining-Wiley ( 2014)
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal-Data Mining Practical Machine Learning Tools and Techniques-Morgan Kaufmann (2016)
John W. Tukey - Exploratory Data Analysis-Addison Wesley (1977)
appendices 2ed
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal-Data Mining Practical Machine Learning Tools and Techniques-Morgan Kaufmann (2016)
0.00-Assignments Guideline
Konsep Dasar Data Mining
1. Overview
chap1 intro
2. Data
chap2 data
3. Data Exploration
chap3 data exploration
Assignment 1
chap3 data exploration
Assignment 1
4. Basic Classification
chap4.0 basic classification
chap4.1 overfitting
5. Advanced Classification
chap5.1 rule based
chap5.2 knn
chap5.3 naive bayes
chap5.4 ann
chap5.6 ensemble
chap5.7 imbalanced classes
chap5.5 svm
Assignment 2
6. Association Analysis
chap6 association analysis
chap6 basic association analysis (FP Growth Eclat)
7. Advanced Association Analysis
chap7 advanced association analysis
9. Cluster Analysis
chap8 basic cluster analysis
10. Advanced Cluster Analysis
chap9 advanced cluster analysis
chap9 advanced cluster analysis
11. Anomaly Detection
chap10.0 anomaly detection
chap10.1 false discoveries
Chat
12. WEKA Lab 1
Assignment 3
13. WEKA Lab 2
Assignment 4
15. Project Presentation
Final Project
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Big Data & Coding (Open Course)
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Big Data & Coding (Open Course)
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Big Data & Coding (Open Course)
Teacher:
Yogi Saputra Mahmud
Teacher:
Wan Sen Tjong
Skill Level
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Beginner
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