Data Science and Big Data Computing: Frameworks and Methodologies

by Zaigham Mahmood (Editor)

Part 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 A Big Data Perspective
Ying Xie, Jing (Selena) He and Vijay V. Raghavan Part 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 A Big Data Perspective
Zartasha Baloch, Faisal Karim Shaikh and Mukhtiar A. Unar Distributed Platforms and Cloud 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 Big Data Tools and Analytics Large Scale Data Analytics Apache Hive, Pig and HBase
N. Maheswari and M. Sivagami Big Data 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 Data Nirmala Dorasamy and Nataša Pomazalová

344 pages, Paperback

Published July 9, 2016