Applying Predictive Analytics Within the Service Sector

Applying Predictive Analytics Within the Service Sector Front Cover
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320 pages

Book Description

"This book analyses the current trends, key uses and broad service provider for services, specifically for the service sector both offline and online Channels. It also analyzes the evolution in and people expertise that has enabled service providers to meet this growing need of service sector and make previously inconceivable tasks possible"--

Table of Contents

Chapter 1: Alternative Clustering
Chapter 2: An Evaluation of Turkey's NUTS Level 1 Regions According to Banking Sector With MULTIMOORA Method
Chapter 3: Analytics in Public Policy Related to Service Sector
Chapter 4: Bug Handling in Service Sector
Chapter 5: Clustering Techniques Within Service Sector
Chapter 6: Descriptive Analytics
Chapter 7: Personalized Content Recommendation Engine for Web Publishing Services Using Textmining and
Chapter 8: Predictive Analysis of Emotions for Improving Customer Services
Chapter 9: Predictive Modelling and Mind-Set Segments Underlying Health Plans
Chapter 10: Prioritizing and Analyzing Demand Chain Management (DCM) Processes in Indian Retailing Using AHP
Chapter 11: Recommender System
Chapter 12: Strengths and Limitations of Analytics Tools
Chapter 13: Using Functional Link Artificial Neural Network (FLANN) for Bank Credit Risk Assessment
Chapter 14: Vehicular Traffic Forecasting in Filling Station

Book Details

  • Title: Applying Predictive Analytics Within the Service Sector
  • Length: 320 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2017-01-27
  • ISBN-10: 1522521488
  • ISBN-13: 9781522521488
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