Yu Shui, Guo Song (Eds.) Big Data Concepts, Theories, and Applications

Springer, 2016. — 439 p. — ISBN: 3319277618, 9783319277615This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly.
After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science.
Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.Genoveva Vargas-Solar, Javier A. Espinosa-Oviedo, and Jose Luis Zechinelli-Martini
Big Continuous Data: Dealing with Velocity by Composing Event Streams
Sourav Mazumder
Big Data Tools and Platforms
BinfengWang, Jun Zhang, Zili Zhang,Wei Luo, and Dawen Xia
Traffic Identification in Big Internet Data
Lei Xu and Weidong Shi
Security Theories and Practices for Big Data
Xiaokui Shu, Fang Liu, and Danfeng (Daphne) Yao
Rapid Screening of Big Data Against Inadvertent Leaks
Mi Wen, Shui Yu, Jinguo Li, Hongwei Li, and Kejie Lu
Big Data Storage Security
William Glenn and Wei Yu
Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster
Shuyu Li and Jerry Gao
Security and Privacy for Big Data
Kok-Leong Ong, Daswin De Silva, Yee Ling Boo, Ee Hui Lim, Frank Bodi, Damminda Alahakoon, and Simone Leao
Big Data Applications in Engineering and Science
Athanasios Karmas, Angelos Tzotsos,
and Konstantinos Karantzalos
Geospatial Big Data for Environmental and Agricultural Applications
Bin Fang and Peng Zhang
Big Data in Finance
Sien Chen, Yinghua Huang, and Wenqiang Huang
Big Data Applications in Business Analysis