Yilei Zhang received his Ph D in Computer Science from the Chinese University of Hong Kong. His industry-specific experience in cloud and big data spans several years as an IT professional. His research interests include big data, service computing and cloud computing. He has served as a reviewer for a number of international journals as well as conferences including TSE, TR, TSC, WWW, WSDM, KDD, ISSRE, etc. He received the best student paper award at the ICWS 2010.
Michael R. Lyu received his Ph D in Computer Science from the University of California, Los Angeles. He is currently a Professor at the Chinese University of Hong Kong’s Computer Science and Engineering Department. He has published 450 peer-reviewed journal and conference papers. His research interests include software reliability engineering, distributed systems, fault-tolerant computing, service computing, multimedia information retrieval, and machine learning. He was named as the IEEE Reliability Society Engineer of the Year in 2010. He is a fellow of the IEEE, ACM and AAAS.
4 Электронные книги Michael R. Lyu
Kai-Zhu Huang & Haiqin Yang: Machine Learning
Machine Learning — Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner natur …
PDF
английский
€128.39
Zibin Zheng & Michael R. Lyu: QoS Management of Web Services
Quality-of-Service (Qo S) is normally used to describe the non-functional characteristics of Web services and as a criterion for evaluating different Web services. Qo S Management of Web Services pre …
PDF
английский
€96.29
Yilei Zhang & Michael R. Lyu: QoS Prediction in Cloud and Service Computing
This book offers a systematic and practical overview of Quality of Service prediction in cloud and service computing. Intended to thoroughly prepare the reader for research in cloud performance, the …
PDF
английский
€53.49
Shenglin Zhao & Michael R. Lyu: Point-of-Interest Recommendation in Location-Based Social Networks
This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in this area, the book then analyzes user …
PDF
английский
€53.49