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Instant Weka How-to
Table of Contents
Preface
Instant Weka How-to
Preface
Up
Instant Weka How-to
Starting with Java and Weka (Simple)
Loading the data (Simple)
Filtering attributes (Simple)
Selecting attributes (Intermediate)
Training a classifier (Simple)
Building your own classifier (Advanced)
Tree visualization (Intermediate)
Testing and evaluating your models (Simple)
Regression models (Simple)
Association rules (Intermediate)
Clustering (Simple)
Reusing models (Intermediate)
Data mining in direct marketing (Simple)
Using Weka for stock value forecasting (Advanced)
Recommendation system (Advanced)
Boštjan Kaluža
Boštjan Kaluža, PhD is a researcher in artificial intelligence and ubiquitous computing. Since October 2008, he has been working at Jozef Stefan Institute, Slovenia. His research focuses on the development of novel algorithms and approaches, with an emphasis on human behavior analysis from sensor data using machine learning and data mining techniques. Boštjan has extensive experience in Java and Python, and lectures Weka in the classroom. He spent a year as a visiting researcher at the University of Southern California, where he studied suspicious and anomalous agent behavior in the context of security applications. He has published over 40 journal articles and conference papers.
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