Page 6 - E Modul Data Analytics _Neat

Data Analytics

7.2 Algoritma / Metodologi pada klasifikasi : decision tree, naïve bayes, dll ............ 74
7.2.1 Decision Tree ............................................................................................................ 74

7.2.2 Naïve Bayes .......................................................................................................... 82
7.3 Aplikasi Klasifikasi (Studi Kasus) .............................................................................. 84
7.4 Penggunaan software untuk pengolahan model klasifikasi ...................................... 87

KEGIATAN PEMBELAJARAN 8 ................................................................................................... 95
Konsep Dasar Metoda Data Mining: Metoda Clustering Analysis .......................................... 95
8.1 Definisi metoda klastering .............................................................................................. 96

8.2 Algoritma / metodologi pada klastering : k-means, hirarki, dll .............................. 96
8.2.1 K-Means..................................................................................................................... 96

8.2.2 Algoritma Hierarchical Clustering ...................................................................... 99
8.3 Aplikasi klastering (Studi Kasus) ............................................................................. 101
8.4 Penggunaan software untuk pengolahan model klastering ................................ 117

8.4.1 Pengujian K-Means dengan RapidMiner ............................................................ 117
KEGIATAN PEMBELAJARAN 9 ................................................................................................. 124
Konsep Dasar Metoda Data Mining: Metoda Association Rules ........................................... 124

9.1 Definisi dan Konsep Asosiasi Data ............................................................................. 125
9.2 Pengukuran Asosiasi Data Menggunakan Support, Confidence dan Lift Ratio. . 125
9.3 Contoh / studi kasus transaksi belanja di pasar swalayan menggunakan model
asosiasi data ......................................................................................................................... 127
9.4 Penggunaan Software Untuk Pengolahan Model Asosiasi Data ........................... 131

DAFTAR PUSTAKA ................................................................................................................. 141

vi