RapidMiner data mining use cases and business analytics applications

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 RapidMine...

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Detalles Bibliográficos
Otros Autores: Hofmann, Markus (Computer scientist), editor (editor), Klinkenberg, Ralf, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press [2014]
Edición:1st edition
Colección:Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628730006719
Tabla de Contenidos:
  • Front Cover; Part I Introduction to Data Mining and RapidMiner; Chapter 1 What This Book is About and What It is Not; Chapter 2 Getting Used to RapidMiner; Part 2 Basic Classification Use Cases for Credit Approval and in Education; Chapter 3 k-Nearest Neighbor Classification I; Chapter 4 k-Nearest Neighbor Classification II; Chapter 5 NaŁ ve Bayes Classification I; Chapter 6 NaŁ ve Bayes Classificaton II; Part 3 Marketing, Cross- Selling, and Recommender System Use Cases; Chapter 7 Who Wants My Product? Affnity-Based Marketing; Chapter 8 Basic Association Rule Mining in RapidMiner
  • Chapter 9 Constructing Recommender Systems in RapidMinerChapter 10 Recommender System for Selection of the Right Study Program for Higher Education Students; Part 4 Clustering in Medical and Educational Domains; Chapter 11 Visualising Clustering Validity Measures; Chapter 12 Grouping Higher Education Students with RapidMiner; Part 5 Text Mining: Spam Detection, Language Detection, and Customer Feedback Analysis; Chapter 13 Detecting Text Message Spam; Chapter 14 Robust Language Identification with RapidMiner: A Text Mining Use Case; Chapter 15 Text Mining with RapidMiner
  • Part 6 Feature Selection and Classification in Astroparticle Physics and in Medical DomainsChapter 16 Application of RapidMiner in Neutrino Astronomy; Chapter 17 Medical Data Mining; Part 7 Molecular Structure- and Property- Activity Relationship Modeling in Biochemistry and Medicine; Chapter 18 Using PaDEL to Calculate Molecular Properties and Chemoinformatic Models; Chapter 19 Chemoinformatics: Structure- and Property-activity Relationship Development; Part 8 Image Mining: Feature Extraction, Segmentation, and Classification; Chapter 20 Image Mining Extension for RapidMiner (Introductory)
  • Chapter 21 Image Mining Extension for RapidMiner (Advanced)Part 9 Anomaly Detection, Instance Selection, and Prototype Construction; Chapter 22 Instance Selection in RapidMiner; Chapter 23 Anomaly Detection; Part 10 Meta- Learning, Automated Learner Selection, Feature Selection, and Parameter Optimization; Chapter 24 Using RapidMiner for Research: Experimental Evaluation of Learners; Color Insert; Back Cover