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 Classi fication I
M. Fareed Akhtar
Chapter 4 – k-Nearest Neighbor Classi fication II
M. Fareed Akhtar
Chapter 5 – Naive Bayes Classi fication I
M. Fareed Akhtar
Chapter 6 – Naive Bayes Classi fication 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 Identifi cation 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