Webinar Data Mining dengan Rapidminer | Universitas Budi Luhur

This document discusses data mining and the RapidMiner tool. It defines data mining as a discipline that studies methods for extracting knowledge or finding patterns from large amounts of data. It outlines the CRISP-DM process for data mining including data collection, preprocessing, modeling, evaluation, and knowledge. Common data preprocessing, modeling techniques like classification, clustering and association, and performance metrics are described. RapidMiner is presented as a popular open-source tool for visualizing the data mining process with an intuitive graphical user interface.