Font size
A-
A
A+
Site color
R
A
A
A
Side panel
You are currently using guest access (
Log in
)
Skip to main content
Knowledge Data Discovery
Home
Courses
ILMU TEKNIK
TEKNIK ELEKTRO DAN INFORMATIKA
Teknologi Informasi
KDD 1
Topik 9 - Classification: Advanced Methods (2)
SM9-ANN Applet
SM9-ANN Applet
NULL
Click
http://cs.stanford.edu/people/karpathy/svmjs/demo/demonn.html
link to open resource.
Previous activity
◄ SM9-SVM Applet
Jump to...
Jump to...
Announcements
TextBook
Materi Session 1
Forum Session 1 - Introduction
TextBook
Materi Session 2
Forum Session 2 - Exploring Data
TextBook
Materi Session 3
SM3A-Tutorial RapidMiner (Video)
SM3B-Introducing WEKA (Video)
SM3C-WEKA documentation
SM3D-WEKA Tutorial:
Forum Session 3 - Data Mining Tools
TP1-W2-S3-R0
TextBook
Materi - Session 4
SM4-Video: feature selection
Forum Session 4 - Data Preprocessing
TP2-W3-S4-R0
TextBook
Materi Session 5
Forum Session 5 - Data Warehouse and OLAP
TextBook
Materi Session 6
SM6-Video: association mining
Forum Session 6 - Associations Analysis
TK1-W5-S6-R0
Materi Midterm Examination
TextBook
Materi Session 7
SM7-Video: Basic concept of classification
SM7-Video: D-tree
Forum Session 7 - Classification: Basic Concepts
TextBook
Materi Session 8
Forum Session 8 - Classification: Advanced Methods (1)
TextBook
Materi Session 9
SM9-SVM Applet
SM9-WEKA tutorial
SM9-Video: Implementation SVM
Forum Session 9 - Classification: Advanced Methods (2)
TP3-W7-S10-R0
TextBook
Materi Session 10
SM10-Overview of clustering by A. K. Jain
SM10-video tutorial: basic concepts of clustering, k-Means:
Forum Session 10 - Cluster Analysis: Basic Concepts
TP4-W8-S11-R0
Forum Session 11 - Cluster Analysis: Advanced Methods
TextBook
Materi Session 11
SM11-Video tutorial GMM
SM11-Fuzzy c-Means by Bezdek
SM11-Mixture model simulation
SM11-SOM simulation using GNG
TextBook
Materi Session 12
SM12-Video tutorial: outliers detection using RapidMiner
Forum Session 12 - Anomaly Detection
TK2-W10-S13-R0
Materi Final Examination
Next activity
SM9-WEKA tutorial ►
Home
Calendar
Course sections
General Description
Topik 1 - Introduction
Topik 2 - Exploring Data
Topik 3 - Data Mining Tools
Topik 4 - Data Preprocessing
Topik 5 - Data Warehouse and OLAP
Topik 6 - Associations Analysis
Topics Review I and Midterm Examination
UTS
Topik 7 - Classification: Basic Concepts
Topik 8 - Classification: Advanced Methods (1)
Topik 9 - Classification: Advanced Methods (2)
Topik 10 - Cluster Analysis: Basic Concepts
Topik 11 - Cluster Analysis: Advanced Methods
Topik 12 - Anomaly Detection
Topics review and final examination
UAS