Hofmann / Klinkenberg RapidMiner

Data Mining Use Cases and Business Analytics Applications
Erscheinungsjahr 2013
ISBN: 978-1-4822-0550-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 525 Seiten

Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

RapidMiner is one of the most widely used open source data mining solutions world-wide. This book provides an application use case-based introduction to data mining and to RapidMiner (and RapidAnalytics.) It presents many different applications of data mining and how to implement them with RapidMiner, and it allows readers to get started with their own data mining applications with RapidMiner, or other similar tools. The software, the data sets, and RapidMiner data mining processes used and discussed in the book are made available to readers.

Autoren/Hrsg.

Hofmann, Markus

Klinkenberg, Ralf

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

I Introduction to Data Mining and RapidMiner. What this book is about and what it is not. Getting Used to RapidMiner. II Basic Classification Use Cases for Credit Approval and in Education. k-Nearest Neighbor Classification I. k-Nearest Neighbor Classification II. Naive Bayes Classification I. Native Bayes Classification II. III Marketing Cross-Selling, and Recommender System Use Cases. Who Wants My Product? Affinity-Based Marketing. Basic Association Rule Mining in RapidMiner. Constructing recommender systems in RapidMiner. Recommender system for selection of the right study program for higher education students. Visualising clustering validity measures. Grouping higher education students with RapidMiner. V Text Mining: Spam Detection, Language Detection, and customer Feedback and analysis. Detecting Text Message Spam. Robust Language Identification with RapidMiner { A Text Mining Use Case. Text Mining with RapidMiner. VI Feature Selection and Classification in Astroparticle Physics and in Medical Domains. Application of RapidMiner in Neutrino Astronomy. Medical data mining. VII Molecular Structure and Property-Activity Relationship Modeling in Biochemistry and Medicine. Using PaDEL to calculate molecular properties and chemoinformatic models. Chemoinformatics: Structure- and property-activity relationship development with RapidMiner. Image Mining Extension for RapidMiner (Introductory). Image Mining Extension for RapidMiner (Advanced). IX Anomaly Detection, Instance Selection, and Prototype Construction. Instance Selection in RapidMiner. Anomaly Detection. X Meta-Learning, Automated Learner Selection, Feature Selection, and Parameter Optimization. Using RapidMiner for research: Experimental evaluation of learners. Subject Index. Operator Index.