Data Science and Big Data Computing: Frameworks and Methodologies

Contributor(s):

Mahmood, Zaigham [Editor]

Material type: Text

TextPublication details: Springer International Publishing Switzerland 2016Description: 319pISBN:

9783319318592

Subject(s):

Computer

DDC classification:

005.7 DAT

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	005.7 DAT (Browse shelf(Opens below))	Not For Loan		T0052455

Total holds: 0

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

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