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8 Sections
26 Lessons
32 Hours
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PERSIAPAN
2
1.1
Pre-Test
10 Minutes
10 Questions
1.2
Download Bundle Materi
1. PENGANTAR
4
2.1
1.1 Apa dan Mengapa Data Mining?
2.2
1.2 Peran Utama dan Metode Data Mining
2.3
1.3 Sejarah dan Penerapan Data Mining
2.4
1.4 Referensi
2. PROSES
5
3.1
2.1 Proses dan Tools Data Mining
3.2
2.2 Penerapan Proses Data Mining
3.3
2.3 Evaluasi Model Data Mining
3.4
2.4 Proses Data Mining berbasis CRISP-DM
3.5
2.5 Referensi
3. PERSIAPAN DATA
5
4.1
3.1 Data Cleaning
4.2
3.2 Data Reduction
4.3
3.3 Data Transformation and Data Discretization
4.4
3.4 Data Integration
4.5
3.5 Referensi
4. ALGORITMA
4
5.1
4.1 Algoritma Klasifikasi
5.2
4.2 Algoritma Klastering
5.3
4.3 Algoritma Asosiasi
5.4
4.4 Algoritma Estimasi dan Forecasting
5. TEXT MINING
3
6.1
5.1 Text Mining Concepts
6.2
5.2 Text Clustering
6.3
5.3 Text Classification
6. RESEARCH
3
7.1
6.1 Data Mining Research
7.2
6.2 Data Mining Laws
7.3
6.3 Data Mining Use Cases
PENUTUPAN
2
8.1
Kuesioner
8.2
Post-test KNIME
10 Minutes
10 Questions
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