Data Intensive Computing for Biodiversity

Author	: Sarinder K. Dhillon
Publisher	:
Total Pages	: 138
Release	: 2013-06-30
ISBN-10	: 3642380484
ISBN-13	: 9783642380488
Rating	: 4/5 (488 Downloads)

DOWNLOAD EBOOK

Book Synopsis Data Intensive Computing for Biodiversity by : Sarinder K. Dhillon

Download or read book Data Intensive Computing for Biodiversity written by Sarinder K. Dhillon and published by . This book was released on 2013-06-30 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Intensive Computing for Biodiversity Related Books

Language: en
Pages: 138

Data Intensive Computing for Biodiversity

Authors: Sarinder K. Dhillon

Categories:

Type: BOOK - Published: 2013-06-30 - Publisher:

DOWNLOAD EBOOK

Language: en
Pages: 130

Data Intensive Computing for Biodiversity

Authors: Sarinder K. Dhillon

Categories: Technology & Engineering

Type: BOOK - Published: 2013-05-31 - Publisher: Springer

DOWNLOAD EBOOK

This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data source

Language: en
Pages: 618

Data Intensive Computing Applications for Big Data

Authors: M. Mittal

Categories: Computers

Type: BOOK - Published: 2018-01-31 - Publisher: IOS Press

DOWNLOAD EBOOK

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learnin

Language: en
Pages:

Data-intensive Computing Laying Foundation for Biological Breakthroughs

Authors:

Categories:

Type: BOOK - Published: 2007 - Publisher:

DOWNLOAD EBOOK

Finding a different way is the goal of the Data-Intensive Computing for Complex Biological Systems (Biopilot) project--a joint research effort between the Pacif

Language: en
Pages: 231

Intelligent Agents in Data-intensive Computing

Authors: Joanna Kołodziej

Categories: Technology & Engineering

Type: BOOK - Published: 2015-09-21 - Publisher: Springer

DOWNLOAD EBOOK

This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive a