SAMPLE Copyright©2021 by KNIME Press All rights reserved. This publication is protected by copyright, and permission must be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording or likewise. This book has been updated for KNIME 4.3. For information regarding permissions and sales, write to: KNIME Press Hardturmstrasse 66 8005 Zurich Switzerland [email protected] SAMPLE 2 Table of Contents Introduction ....................................................................................................................................................................... 9 Chapter 1. Customer Intelligence .................................................................................................................................... 10 1.1. Churn Prediction .............................................................................................................................................. 10 What You Need ............................................................................................................................................................ 10 The Workflow to Train the Model ............................................................................................................................... 10 Which Model? .............................................................................................................................................................. 10 Deployment ................................................................................................................................................................. 11 1.2. Customer Segmentation .................................................................................................................................. 14 Customer Segmentation Strategies ............................................................................................................................. 14 What You Need ............................................................................................................................................................ 14 Basic Workflow for Customer Segmentation with Clustering Procedure ................................................................... 15 Model Deployment ...................................................................................................................................................... 15 Refining Customer Segments with Business Knowledge by Domain Experts ............................................................. 15 Chapter 2. Retail and Supply Chain.................................................................................................................................. 18 2.1. Market Basket Analysis with the Apriori Algorithm ........................................................................................ 18 What You Need ............................................................................................................................................................ 18 Workflow to Build Association Rules with the Apriori Algorithm ............................................................................... 18 Deployment ................................................................................................................................................................. 20 References ................................................................................................................................................................... 21 2.2. Movie Recommendations with Spark Collaborative Filtering ......................................................................... 22 What You Need ............................................................................................................................................................ 22 A general dataset with movie ratings by users........................................................................................................ 22 Movie preferences by current user ......................................................................................................................... 22 A Spark Context................................SAMPLE........................................................................................................................ 23 Workflow to Build the Recommendation Engine with Collaborative Filtering ........................................................... 25 Deployment ................................................................................................................................................................. 26 References ................................................................................................................................................................... 27 Chapter 3. Banking and Insurance ................................................................................................................................... 28 3.1. Credit Risk Assessment .................................................................................................................................... 28 What You Need ............................................................................................................................................................ 28 Workflow to Predict Delinquency ................................................................................................................................ 28 Data Preprocessing .................................................................................................................................................. 29 Linear Correlation Map ............................................................................................................................................ 30 SMOTE Algorithm..................................................................................................................................................... 31 Model Evaluation ..................................................................................................................................................... 32 3 Deployment ................................................................................................................................................................. 33 References ................................................................................................................................................................... 33 Chapter 4. Web & Social Media ....................................................................................................................................... 34 4.1. Document Classification: Spam vs. Ham.......................................................................................................... 34 What You Need ............................................................................................................................................................ 34 Workflow ..................................................................................................................................................................... 34 Deployment ................................................................................................................................................................. 35 References ................................................................................................................................................................... 36 4.2. Topic Detection: What Is It All About? ............................................................................................................ 37 Text Summarization ..................................................................................................................................................... 37 Topic Detection ............................................................................................................................................................ 38 What You Need ............................................................................................................................................................ 39 The Workflow............................................................................................................................................................... 39 Deployment ................................................................................................................................................................. 40 References ................................................................................................................................................................... 40 4.3. Sentiment Analysis: What’s With the Tone? ................................................................................................... 41 Introduction ................................................................................................................................................................. 41 Sentiment Analysis: The Techniques ........................................................................................................................... 41 What You Need ............................................................................................................................................................ 41 The Workflow..............................................................................................................................................................