Open access peer-reviewed Edited Volume

Advanced Analytics and Artificial Intelligence Applications

Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models.

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Advanced Analytics and Artificial Intelligence ApplicationsEdited by Ali Soofastaei

Published: November 13th 2019

DOI: 10.5772/intechopen.78899

ISBN: 978-1-78984-639-3

Print ISBN: 978-1-78984-638-6

eBook (PDF) ISBN: 978-1-83962-770-5

Copyright year: 2019

Books open for chapter submissions

813 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Advanced Analytics and Artificial Intelligence Applications

By Ali Soofastaei

82

Open access peer-reviewed

2. Bio-Inspired Hybrid Algorithm for Web Services Clustering

By Maricela Bravo, Román A. Mora-Gutiérrez and Luis F. Hoyos-Reyes

148

Open access peer-reviewed

3. Smart Material Planning Optimization Problem Analysis

By Rich C. Lee and Man-ser Jan

169

Open access peer-reviewed

4. A Deep Learning-Based Aesthetic Surgery Recommendation System

By Phan Chau Phuc Thinh, Bui Thi Xuyen, Nguyen Do Trung Chanh, Dao Huu Hung and Mimura Daisuke

158

Open access peer-reviewed

5. An Assessment of the Prediction Quality of VPIN

By Antoine Bambade and Kesheng Wu

87

Open access peer-reviewed

6. Artificial Intelligence Data Science Methodology for Earth Observation

By Corneliu Octavian Dumitru, Gottfried Schwarz, Fabien Castel, Jose Lorenzo and Mihai Datcu

170

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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