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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

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

Browsing Institute of Technology shelves, Collection: Reference Close shelf browser (Hides shelf browser)

Previous								Next
Previous	005.5311 MOS Java Servlet	005.5311 SCH Java The Complete Reference	005.7 BIG Big Data: Principles and Paradigms	005.7 DAT Data Science and Big Data Computing: Frameworks and Methodologies	005.7 DRA Learning Pyspark : Build Data-Intensive Applications Locally and Deploy at Scale Using The Combined Powers of Python and Spark 2.0	005.7 HUM Human Element of Big Data: Issues, Analytics and Performance	005.7 MAR Big Data Analysis with Python	Next

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

There are no comments on this title.

to post a comment.