This website provides you with an outline of each chapter, the table of contents and the data and processes required to follow and implement the use case. We are still in the final process of collating all process and data files. Most processes and data downloads are already available. For questions please email markus.hofmann@itb.ie.
Book TOC
Foreword – Case Studies Are for Communication and Collaboration
Prof. Dr. Katharina Morik (TU Dortmund, Germany)
Chapter 1 – What This Book is About and What It is Not
Ingo Mierswa
Chapter 2 – Getting Used to RapidMiner
Ingo Mierswa
Chapter 3 – k-Nearest Neighbor Classification I
M. Fareed Akhtar
Chapter 4 – k-Nearest Neighbor Classification II
M. Fareed Akhtar
Chapter 5 – Naive Bayes Classification I
M. Fareed Akhtar
Chapter 6 – Naive Bayes Classification II
M. Fareed Akhtar
Chapter 7 – Who Wants My Product? Affinity-Based Marketing
Euler Timm
Chapter 8 – Basic Association Rule Mining in RapidMiner
Matthew A. North
Chapter 9 – Constructing Recommender Systems in RapidMiner
Matej Mihelcic, Matko Bosnjak, Nino Antulov-Fantulin, and Tomislav Smuc
Chapter 10 – Recommender System for Selection of the Right Study Program for
Higher Education Students
Milan Vukicevic, Milos Jovanovic, Boris Delibasic, and Milija Suknovic
Chapter 11 – Visualising Clustering Validity Measures
Andrew Chisholm
Chapter 12 – Grouping Higher Education Students with RapidMiner
Milan Vukicevic, Milos Jovanovic, Boris Delibasic, and Milija Suknovic
Chapter 13 – Detecting Text Message Spam
Neil McGuigan
Chapter 14 – Robust Language Identification with RapidMiner: A Text Mining Use
Case
Matko Bosnjak, Eduarda Mendes Rodrigues, and Luis Sarmento
Chapter 15 – Text Mining with RapidMiner
Gurdal Ertek, Dilek Tapucu, and Inanc Arin
Chapter 16 – Application of RapidMiner in Neutrino Astronomy
Tim Ruhe, Katharina Morik, and Wolfgang Rhode
Chapter 17 – Medical Data Mining
Mertik Matej and Palfy Miroslav
Chapter 18 – Using PaDEL to Calculate Molecular Properties and Chemoinformatic
Models
Markus Muehlbacher and Johannes Kornhuber
Chapter 19 – Chemoinformatics: Structure- and Property-activity Relationship Development
Markus Muehlbacher and Johannes Kornhuber
Chapter 20 – Image Mining Extension for RapidMiner (Introductory)
Radim Burget, Vaclav Uher, and Jan Masek
Chapter 21 – Image Mining Extension for RapidMiner (Advanced)
Vaclav Uher and Radim Burget
Chapter 22 – Instance Selection in RapidMiner
Marcin Blachnik and Miroslaw Kordos
Chapter 23 – Anomaly Detection
Markus Goldstein
Chapter 24 – Using RapidMiner for Research: Experimental Evaluation of Learners
Jovanovic Milos, Vukicevic Milan, Delibasic Boris, and Suknovic Milija


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