Topik Dalam Data Mining (P)

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Course data

General

Announcements

Link Zoom perkuliahan TD DM S2 PJJ

Introduction

Module Handbook_Magister of Informatics

RPS

Pengantar Perkuliahan Data Mining

Pengantar Data Mining

Introduction to Data Mining

Preproses Data

Data Preprocessing

Data

Code Imputation

Code Handling Noise

Data Preprocessing

Handling Redudancy

Reduksi Dimensi

Sampling

Tugas 1 Implementasi dan analisis data

Imbalanced Clasess

Imbalanced Clasess

Imbalanced Learning

Contoh Implementasi Imbalanced Classes

Basic Classification

Basic Classification: Decision Tree

Contoh Implementasi Metode Klasifikasi

Metode kNN

Naive Bayes

Metode Klasifikasi

Support Vector Machine

Artificial Neural Network

Metode Klasifikasi

Tugas 2 Implementasi Penanganan Imbalanced Classes dan Klasifikasi

Introduction to Deep Learning

Metode Klasifikasi

Ensemble Classification Methods

Contoh implementasi Metode Ensemble

Presentasi Review Paper dan Rencana FP

Tugas Review Paper dan Rencana FP

Pengantar Deep Learning (CNN dan RNN)

Pengantar RNN

Pengantar CNN

Association Rule Mining

Association Rule Mining

Advanced Association Rule Mining

Advanced Association Rule Mining

Clustering

Basic Clustering

Advanced Clustering

Advanced Clustering

Anomaly Detection

Deteksi Anomali

Presentasi Final Project

Presentasi Final Project
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Topik Dalam Data Mining (P)

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Courses
Institut Teknologi Sepuluh Nopember
Magister
Fakultas Teknologi Elektro dan Informatika Cerdas
S-2 TEKNIK INFORMATIKA
Semester Gasal 2022/2023
Topik Dalam Data Mining (P)
Summary

Topik Dalam Data Mining (P)

Teacher: Chastine Fatichah

Sukolilo | Manyar | Tjokroaminoto
Kampus Institut Teknologi
Sepuluh Nopember Surabaya
Phone: 031-5994251-54, 5947274, 5945472
Fax: 031-5923465, 5947845

General

Announcements

Link Zoom perkuliahan TD DM S2 PJJ

Introduction

Module Handbook_Magister of Informatics

RPS

Pengantar Perkuliahan Data Mining

Pengantar Data Mining

Introduction to Data Mining

Preproses Data

Data Preprocessing

Data

Code Imputation

Code Handling Noise

Data Preprocessing

Handling Redudancy

Reduksi Dimensi

Sampling

Tugas 1 Implementasi dan analisis data

Imbalanced Clasess

Imbalanced Clasess

Imbalanced Learning

Contoh Implementasi Imbalanced Classes

Basic Classification

Basic Classification: Decision Tree

Contoh Implementasi Metode Klasifikasi

Metode kNN

Naive Bayes

Metode Klasifikasi

Support Vector Machine

Artificial Neural Network

Metode Klasifikasi

Tugas 2 Implementasi Penanganan Imbalanced Classes dan Klasifikasi

Introduction to Deep Learning

Metode Klasifikasi

Ensemble Classification Methods

Contoh implementasi Metode Ensemble

Presentasi Review Paper dan Rencana FP

Tugas Review Paper dan Rencana FP

Pengantar Deep Learning (CNN dan RNN)

Pengantar RNN

Pengantar CNN

Association Rule Mining

Association Rule Mining

Advanced Association Rule Mining

Advanced Association Rule Mining

Clustering

Basic Clustering

Advanced Clustering

Advanced Clustering

Anomaly Detection

Deteksi Anomali

Presentasi Final Project

Presentasi Final Project

Topik Dalam Data Mining (P)