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Course Description
This course examines the design and implementation of various data mining techniques and gets to know various cases and techniques in real life. Understanding real world problems and solving them using various data mining algorithms such as classification, clustering and association rules. Apart from that, an introduction to the various tools available in the data mining process.
Program Objectives (PO)
Aktifitas Pembelajaran
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Pertemuan 1 Konsep data mining dan tahapan umum penggunaannya. -
Pertemuan 2 Teknik prapengolahan data.
PENGANTAR DATA MINING -
Pertemuan 3 Teknik representasi data.
TAHAPAN DATA MINING -
Pertemuan 4 Dasar-dasar proses data mining.
DATA MINING ROLES -
Pertemuan 5 Karakterisasi dan perbandingan-perbandingan dalam concept description.
APRIORI -
Pertemuan 6 Teknik klasifikasi dalam data mining.
ALGORITMA C4.5 -
Pertemuan 7 Teknik klasifikasi dalam data mining.
DECISION TREE -
Pertemuan 8 Ujian Sub-Sumatif / Ujian Tengah Semester
K-MEANS -
Pertemuan 9 Teknik/metode analisis asosiasi dalam data mining.
CONTOH JURNAL LITERATURE REVIEW -
Pertemuan 10 Teknik/metode analisis asosiasi dalam data mining. -
Pertemuan 11 Teknik clustering dalam data mining. -
Pertemuan 12 Teknik clustering dalam data mining. -
Pertemuan 13 Cara menangani anomali data dan mendeteksi adanya anomali data. -
Pertemuan 14 Proses data mining untuk data yang kompleks. -
Pertemuan 15 Membuat aplikasi pengembangan data mining sesuai tren yang ada. -
Pertemuan 16 Ujian Sumatif / Ujian Akhir Semester
References
Lecturer
Difficult Things About Education.
$75$10
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