Data Mining (T)
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Link Contoh Code Program
Portofolio MK Data Mining
Pengantar Data Mining
Pengantar Data Mining
Data Eksplorasi
Link referensi materi dari Buku Introduction to Data Mining
Link referensi materi dari Buku Data Mining: Concept and Technique
Data Preprocessing
Data Preprocessing
Contoh Code Data Cleaning: Imputation
Contoh Code Data Cleaning: Handling Noise
Data Preprocessing
Contoh Code Reduksi Dimensi
Contoh Code Sampling
Imbalanced Class
Imbalanced Learning
Imbalanced Class
Contoh Code Imbalanced Class
Classification Concept
Tugas 1 Implementasi
Basic Classification - Decision Trees
Presentasi Review Paper dan Rencana FP
Tugas Review Paper dan Rencana FP
Presentasi Review Paper dan Rencana FP
Lanjutan Presentasi Review Paper dan Rencana FP
Lanjutan Presentasi Review Paper dan Rencana FP
Excel Rencana FP
Folder Pengumpulan Berkas FP
Section 8
Old Version - Basic Classification (Decision Trees, Model Overfitting and Evaluation)
Old Version - Alternative Classification (Rule Based, k-NN, Naive Bayes, ANN, SVM, Ensemble Methods)
Basic Classification - Model Overfitting
Alternative Classification - Rule Based
Alternative Classification - Nearest Neighbor
Alternative Classification - Naïve Bayes
Alternative Classification - Artificial Neural Networks
Alternative Classification - Support Vector Machine
Alternative Classification - Ensemble Methods
Section 9
ETS
Excel Hasil Terbaik Model Klasifikasi (ETS)
Section 10
Basic Clustering Analysis
Section 11
Advanced Clustering Analysis
Section 12
Laporan Progres FP
Section 13
Basic Association Rule
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Data Mining (T)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 TEKNIK INFORMATIKA
Semester Genap 2023/2024
Data Mining (T)
Summary
Data Mining (T)
Teacher:
Aldinata Rizky Revanda
Teacher:
Chastine Fatichah