𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Rapidminer: Data Mining Use Cases and Business Analytics Applications

✍ Scribed by Hofmann, Markus(Editor);Klinkenberg, Ralf


Publisher
CRC Press
Year
2016
Tongue
English
Leaves
518
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre

✦ Table of Contents


Front Cover......Page 1
Part I Introduction to Data Mining and RapidMiner......Page 56
Chapter 1 What This Book is About and What It is Not......Page 58
Chapter 2 Getting Used to RapidMiner......Page 74
Part 2 Basic Classification Use Cases for Credit Approval and in Education......Page 86
Chapter 3 k-Nearest Neighbor Classification I......Page 88
Chapter 4 k-Nearest Neighbor Classification II......Page 100
Chapter 5 NaŁ ve Bayes Classification I......Page 108
Chapter 6 NaŁ ve Bayes Classificaton II......Page 120
Part 3 Marketing, Cross- Selling, and Recommender System Use Cases......Page 130
Chapter 7 Who Wants My Product? Affnity-Based Marketing......Page 132
Chapter 8 Basic Association Rule Mining in RapidMiner......Page 152
Chapter 9 Constructing Recommender Systems in RapidMiner......Page 174
Chapter 10 Recommender System for Selection of the Right Study Program for Higher Education Students......Page 200
Part 4 Clustering in Medical and Educational Domains......Page 212
Chapter 11 Visualising Clustering Validity Measures......Page 214
Chapter 12 Grouping Higher Education Students with RapidMiner......Page 240
Part 5 Text Mining: Spam Detection, Language Detection, and Customer Feedback Analysis......Page 252
Chapter 13 Detecting Text Message Spam......Page 254
Chapter 14 Robust Language Identification with RapidMiner: A Text Mining Use Case......Page 268
Chapter 15 Text Mining with RapidMiner......Page 296
Part 6 Feature Selection and Classification in Astroparticle Physics and in Medical Domains......Page 318
Chapter 16 Application of RapidMiner in Neutrino Astronomy......Page 320
Chapter 17 Medical Data Mining......Page 344
Part 7 Molecular Structure- and Property- Activity Relationship Modeling in Biochemistry and Medicine......Page 374
Chapter 18 Using PaDEL to Calculate Molecular Properties and Chemoinformatic Models......Page 376
Chapter 19 Chemoinformatics: Structure- and Property-activity Relationship Development......Page 386
Part 8 Image Mining: Feature Extraction, Segmentation, and Classification......Page 400
Chapter 20 Image Mining Extension for RapidMiner (Introductory)......Page 402
Chapter 21 Image Mining Extension for RapidMiner (Advanced)......Page 418
Part 9 Anomaly Detection, Instance Selection, and Prototype Construction......Page 430
Chapter 22 Instance Selection in RapidMiner......Page 432
Chapter 23 Anomaly Detection......Page 464
Part 10 Meta- Learning, Automated Learner Selection, Feature Selection, and Parameter Optimization......Page 492
Chapter 24 Using RapidMiner for Research: Experimental Evaluation of Learners......Page 494
Color Insert......Page 510
Back Cover......Page 518


πŸ“œ SIMILAR VOLUMES


RapidMiner: Data Mining Use Cases and Bu
✍ Markus Hofmann, Ralf Klinkenberg πŸ“‚ Library πŸ“… 2014 πŸ› CRC Press 🌐 English

Powerful, Flexible Tools for a Data-Driven World<br />As the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision maki

RapidMiner: Data Mining Use Cases and Bu
✍ Markus Hofmann, Ralf Klinkenberg πŸ“‚ Library πŸ“… 2013 πŸ› Chapman and Hall/CRC 🌐 English

<P><EM>Powerful, Flexible Tools for a Data-Driven World<BR></EM>As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better dec

Customer and Business Analytics : Applie
✍ Krider, Robert E.; Putler, Daniel S πŸ“‚ Library πŸ“… 2012 πŸ› CRC Press [Imprint, Taylor & Francis Group 🌐 English

Annotation<span class='showMoreLessContentElement' style='display: none;'><p>Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business prob

Predictive Analytics and Data Mining: Co
✍ Vijay Kotu, Bala Deshpande πŸ“‚ Library πŸ“… 2014 πŸ› Morgan Kaufmann 🌐 English

<b>Put Predictive Analytics into Action</b>Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth

Predictive Analytics and Data Mining: Co
✍ Vijay Kotu, Bala Deshpande πŸ“‚ Library πŸ“… 2014 πŸ› Morgan Kaufmann 🌐 English

<p><b>Put Predictive Analytics into Action </b>Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your t

Data Mining Using Grammar Based Genetic
✍ Man Leung Wong, Kwong Sak Leung (auth.) πŸ“‚ Library πŸ“… 2002 πŸ› Springer US 🌐 English

<p>Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the read