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Data Science and Big Data Computing: Frameworks and Methodologies - Switzerland Springer International Publishing 2016 - 319p

Contents
Part 1: Data Science Applications and Scenarios
An Interoperability Framework and Distributed Platform for Fast Data Applications
Complex Event Processing Framework for Big Data Applications
Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios
Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective
Part 2: Big Data Modelling and Frameworks
A Unified Approach to Data Modelling and Management in Big Data Era
Interfacing Physical and Cyber Worlds: A Big Data Perspective
Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data
An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data Repositories
Part 3: Big Data Tools and Analytics
Large Scale Data Analytics Tools: Apache Hive, Pig and HBase
Big Data Analytics: Enabling Technologies and Tools
A Framework for Data Mining and Knowledge Discovery in Cloud Computing
Feature Selection for Adaptive Decision Making in Big Data Analytics
Social Impact and Social Media Analysis Relating to Big Data
Index


ISBN: 9783319318592

Subjects--Personal Names:
Computer

Dewey Class. No.: 005.7 / DAT