FACULTY OF EGINEERING DATA MINING & WAREHOUSEING
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Seperti yang dilakukan (Abdelaal and Youness, 2019), mengklasifikasikan hadits (dalam bahasa arab) dari kitab Shahih Bukhari ke dalam kategori yang berbeda, untuk
The specific objectives were (1) to introduce the Cross-Industry Standard Process for Data Mining (CRISP-DM) as a process framework and Knime Analytics Platform as a data
Abstract : This study proposed an encoding scheme of sensing data for efficient data stream mining the environment which takes into account the frequency
Additional Key Words and Phrases: Clustering, partitioning, data mining, unsupervised learning, descriptive learning, exploratory data analysis, hierarchical
Berbeda dengan database operasional yang dapat melakukan update,insert dan delete terhadap data yang mengubah isi dari database sedangkan pada data warehouse hanya ada dua kegiatan
2 Topics to be Covered: Duration in Weeks 1 Introduction to Databases 1 2 Database Theory 1 3 Database Application Lifecycle 1 4 Oracle Forms and Triggers 3 5 Data
THE USE OF DATA MINING FOR PREDICTION OF CUSTOMER LOYALTY Andri Wijaya1 and Abba Suganda Girsang2 Master of Information Technology, Binus Graduate Programs, Bina Nusantara University
