Part I: Data Science Applications and Scenarios
An Interoperability Framework and Distributed Platform for Fast Data Applications
José Carlos Martins Delgado
Complex Event Processing Framework for Big Data Applications
Renta Chintala Bhargavi
Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios
Anupam Biswas, Gourav Arora, Gaurav Tiwari, Srijan Khare, Vyankatesh Agrawal and Bhaskar Biswas
Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective
Ying Xie, Jing (Selena) He and Vijay V. Raghavan
Part II: Big Data Modelling and Frameworks
A Unified Approach to Data Modelling and Management in Big Data Era
Catalin Negru, Florin Pop, Mariana Mocanu and Valentin Cristea
Interfacing Physical and Cyber Worlds: A Big Data Perspective
Zartasha Baloch, Faisal Karim Shaikh and Mukhtiar A. Unar
Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data
Daniel Pop, Gabriel Iuhasz and Dana Petcu
An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data Repositories
Anjaneyulu Pasala, Sarbendu Guha, Gopichand Agnihotram, Satya Prateek B and Srinivas Padmanabhuni
Part III: Big Data Tools and Analytics
Large Scale Data Analytics Tools: Apache Hive, Pig and HBase
N. Maheswari and M. Sivagami
Big Data Analytics: Enabling Technologies and Tools
Mohanavadivu Periasamy and Pethuru Raj
A Framework for Data Mining and Knowledge Discovery in Cloud Computing
Derya Birant and Pelin Yıldırım
Feature Selection for Adaptive Decision Making in Big Data Analytics
Jaya Sil and Asit Kumar Das
Social Impact and Social Media Analysis Relating to Big DataNirmala Dorasamy and Natasa Pomazalová
About the Author: Professor Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and Associate Lecturer (Research) at the University of Derby, UK. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Prof. Mahmood is a certified cloud computing instructor and a regular speaker at international conferences devoted to Cloud Computing and E-Government. His specialized areas of research include distributed computing, project management, and e-government. Among his many publications are the Springer titles Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.
