Data Science and Big Data Computing: Frameworks and Methodologies

✍ Scribed by Zaigham Mahmood (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 332
• Edition: 1
• Category: Library

✦ Synopsis

This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.

✦ Table of Contents

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
An Interoperability Framework and Distributed Platform for Fast Data Applications....Pages 3-39
Complex Event Processing Framework for Big Data Applications....Pages 41-56
Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios....Pages 57-78
Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective....Pages 79-92
Front Matter....Pages 93-93
A Unified Approach to Data Modeling and Management in Big Data Era....Pages 95-116
Interfacing Physical and Cyber Worlds: A Big Data Perspective....Pages 117-138
Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data....Pages 139-159
An Analytics-Driven Approach to Identify Duplicate Bug Records in Large Data Repositories....Pages 161-187
Front Matter....Pages 189-189
Large-Scale Data Analytics Tools: Apache Hive, Pig, and HBase....Pages 191-220
Big Data Analytics: Enabling Technologies and Tools....Pages 221-243
A Framework for Data Mining and Knowledge Discovery in Cloud Computing....Pages 245-267
Feature Selection for Adaptive Decision Making in Big Data Analytics....Pages 269-292
Social Impact and Social Media Analysis Relating to Big Data....Pages 293-313
Back Matter....Pages 315-319

✦ Subjects

Management of Computing and Information Systems;Data Mining and Knowledge Discovery;Computer Communication Networks