Computational Trust Models and Machine Learning

Summary

This book provides a detailed introduction to the concept of trust and its application in various computer science areas. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this text effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment. It explains how

Product details

• Authors: Xin Datta Liu
• Assisted by: Anwitaman Datta (Editor), Datta Anwitaman (Editor), Ee-Peng Lim (Editor), Lim Ee-Peng (Editor), Xin Liu (Editor), Liu Xin (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 18.12.2020
• EAN: 9780367739331
• ISBN: 978-0-367-73933-1
• No. of pages: 232
• Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
• Subjects: Social sciences, law, business > Sociology; Sociology, SOCIAL SCIENCE / Sociology / General, COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Electronics / General, computer science, Information technology: general issues, Electronics engineering, Information technology: general topics