% This data is distributed under the terms of the Open Data Commons Attribution License (ODC-By) v1.0 - See more at: http://opendatacommons.org/licenses/by/1-0/
    @Article{OJBD_2015v1i1n01_Chang,
        title     = {Introductory Editorial},
        author    = {Victor Chang and
                     Muthu Ramachandran and
                     Robert John Walters and
                     Gary B. Wills},
        journal   = {Open Journal of Big Data (OJBD)},
        issn      = {2365-029X},
        year      = {2015},
        volume    = {1},
        number    = {1},
        pages     = {1--3},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194326},
        urn       = {urn:nbn:de:101:1-201705194326},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Open Journal of Big Data is a new open access journal published by RonPub, and RonPub is an academic publisher of online, open access, peer-reviewed journals. OJBD addresses 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. }
    }