Topik Dalam Data Mining (P)
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Section 1
Pengantar Data Mining
Pengantar Data Mining
Section 2
Preprocessing
Data Explorasion
Data Preprocessing
Data Explorasion & Preprocessing
Contoh code Data Explorasion
Contoh code Imputer
Contoh Code Noise
Section 3
Data Preprocessing
Principle Componen Analysis
Feature Selection
Tugas 1 Individu
Contoh Code Reduksi Dimensi
Contoh Code Sampling
Section 4
Classification: Basic Concepts and Techniques - Decision Tree
Classification: Basic Concepts and Techniques
Contoh souce code jupyter notebook : Classification
Tugas 2 Individu - Decision Tree untuk dataset play golf
Section 5
Model Overfitting
Model Overfitting
Tugas 3 Individu : overfitting
Section 6
Classification 2
rule base - knn - naivebayes classifier
naive bayes codes
Section 7
ANN, SVM
ANN, SVM
Section 8
Prewsentasi
Tugas presentasi/demo SVM ANN
Ensemble Learning
Class Imbalance
Section 9
Presentasi ensemble technique
Tugas Presentasi/Demo Ensemble Method
Section 10
Review Paper klasifikasi
Tugas Review Paper Klasifikasi
Section 11
Association Rule
Materi : Association Rule
Tugas Association Rule
Section 12
Clustering
Clustering
Contoh code Clustering
Code Tutorial Clustering
Section 13
Anomaly detection
Anomaly detection
Contoh Code Anomaly Detection
Section 14
Recurrent Neural Network
Recuurent Neural Network
Contoh Code LSTM Regression
Section 15
Anomaly Detection
Anomaly Detection
Contoh Code Anomaly Detection
Section 16
Presentasi Final Project
Presentasi Final Project
Section 17
Presentasi Final Project Lanjutan
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Topik Dalam Data Mining (P)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Teknologi Elektro dan Informatika Cerdas
S-2 TEKNIK INFORMATIKA
Semester Gasal 2021/2022
Topik Dalam Data Mining (P)
Summary
Topik Dalam Data Mining (P)
Teacher:
Chastine Fatichah
Teacher:
Darlis Herumurti