Data Science and Big Data Computing, Softcover reprint of the original 1st ed. 2016 Frameworks and Methodologies

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

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.

Reviews the latest research and practice in data science and big data

Discusses tools and techniques for big data storage and analytics

Describes the frameworks relevant to data science, and their application