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Introductory Editorial

Introductory Editorial
Introductory Editorial
The Open Journal of Big Data is a new open access journal addressing aspects of Big Data, including new
methodologies, processes, case studies, poofs-of-concept, scientific demonstrations, industrial applications and
adoption. This editorial presents the two articles in this first issue. The first paper is on An Efficient Approach
for Cost Optimization of the Movement of Big Data which mainly focuses on the challenge of moving big data
from one data center to other.The second paper is on Cognitive Spam Recognition Using Hadoop and Multicast-
Update which describes a method to make machines cognitively label spam using Machine Learning and the
Naive Bayesian approach.OJBD has a rising reputation thanks to the support of research communities which
help us set up the First International Conference on Internet of Things and Big Data 2016 (IoTBD 2016), in
Rome, Italy, between 23 and 25 April 2016.
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Ramachandran, Muthu
2130f62e-6f28-40ea-8c81-cb0beba747c8
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Ramachandran, Muthu
2130f62e-6f28-40ea-8c81-cb0beba747c8
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Chang, Victor, Ramachandran, Muthu, Walters, Robert John and Wills, Gary (2015) Introductory Editorial. Open Journal of Big Data, 1 (1).

Record type: Article

Abstract

The Open Journal of Big Data is a new open access journal addressing aspects of Big Data, including new
methodologies, processes, case studies, poofs-of-concept, scientific demonstrations, industrial applications and
adoption. This editorial presents the two articles in this first issue. The first paper is on An Efficient Approach
for Cost Optimization of the Movement of Big Data which mainly focuses on the challenge of moving big data
from one data center to other.The second paper is on Cognitive Spam Recognition Using Hadoop and Multicast-
Update which describes a method to make machines cognitively label spam using Machine Learning and the
Naive Bayesian approach.OJBD has a rising reputation thanks to the support of research communities which
help us set up the First International Conference on Internet of Things and Big Data 2016 (IoTBD 2016), in
Rome, Italy, between 23 and 25 April 2016.

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More information

Published date: 27 June 2015
Organisations: Electronics & Computer Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 378431
URI: https://eprints.soton.ac.uk/id/eprint/378431
PURE UUID: 336d65d4-2905-46cf-a4fd-828ed7d434c7
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 27 Jun 2015 16:21
Last modified: 06 Jun 2018 13:03

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