Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications

✍ Scribed by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 178
• Edition: 1
• Category: Library

✦ Synopsis

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

✦ Table of Contents

Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs....Pages 3-20
Role and Importance of Semantic Search in Big Data Governance....Pages 21-35
Multimedia Big Data: Content Analysis and Retrieval....Pages 37-51
An Overview of Some Theoretical Topological Aspects of Big Data....Pages 53-64
Front Matter....Pages 65-65
Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction....Pages 67-82
Data Science and Big Data Analytics at Career Builder....Pages 83-96
Extraction of Bayesian Networks from Large Unstructured Datasets....Pages 97-109
Two Case Studies Based on Large Unstructured Sets....Pages 111-125
Information Extraction from Unstructured Data Sets: An Application to Cardiac Arrhythmia Detection....Pages 127-145
A Platform for Analytics on Social Networks Derived from Organisational Calendar Data....Pages 147-165
Back Matter....Pages 167-169

✦ Subjects

Probability and Statistics in Computer Science; Computer Communication Networks; Simulation and Modeling; Math Applications in Computer Science