Data Science and Big Data Computing (eBook)

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.

Part I: Data Science Applications and Scenarios

An Interoperability Framework and Distributed Platform for Fast Data ApplicationsJosé Carlos Martins Delgado

Complex Event Processing Framework for Big Data ApplicationsRenta Chintala Bhargavi

Agglomerative Approaches for Partitioning of Networks in Big Data ScenariosAnupam 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 PerspectiveYing 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 EraCatalin Negru, Florin Pop, Mariana Mocanu and Valentin Cristea

Interfacing Physical and Cyber Worlds: A Big Data PerspectiveZartasha Baloch, Faisal Karim Shaikh and Mukhtiar A. Unar

Distributed Platforms and Cloud Services: Enabling Machine Learning for Big DataDaniel Pop, Gabriel Iuhasz and Dana Petcu

An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data RepositoriesAnjaneyulu 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 HBaseN. Maheswari and M. Sivagami

Big Data Analytics: Enabling Technologies and ToolsMohanavadivu Periasamy and Pethuru Raj

A Framework for Data Mining and Knowledge Discovery in Cloud ComputingDerya Birant and Pelin Yıldırım

Feature Selection for Adaptive Decision Making in Big Data AnalyticsJaya Sil and Asit Kumar Das

Social Impact and Social Media Analysis Relating to Big DataNirmala Dorasamy and Nataša Pomazalová