Course Description
This course is a project-based course that studies the processes and issues involved in data mining, data mining concepts in data streams, series, sequences, text and web, as well as techniques for solving data mining problems.
Program Objectives (PO)
- Memahami konsep, proses, dan isu yang terkait dalam penambangan data
- Mempelajari berbagai teknik preprocessing data
- Memahami teknik visualisasi dan interpretasi data
- Memahami konsep Data Cube, dan Data Generalization
- Mampu memahami prosedur Mining Frequent Patterns, Association and Correlations
- Mampu menjelaskan konseptual dari Mining Stream, Time series and Sequence Data
- Mampu menjelaskan konseptual dari Spatial Data
- Ujian Tengah Semester (UTS)
- Mampu memahami konsep Graph Mining dan Social Network Analysis
- Mampu memahami konsep clustering
- Mampu Statistical Data Mining (Survival Analysis)
- Mahasiswa mampu merancang penyelesaian masalah menggunakan teknik penambangan data