Journal of Big Data  [electronic resource] / 
edited by Borko Furht, Taghi M. Khoshgoftaar. 
 -  online resource. 
<br/><br/> The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material. 
<br/><br/><label>ISSN: </label>2196-1115 
 = J Big Data 
<br/><br/><label>Standard No.: </label>40537  local 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Database management.<br/>Data mining.<br/>Information storage and retrieval.<br/>Computer science--Mathematics.<br/>Computer mathematics.<br/>Electrical engineering.<br/>Computer Science.<br/>Database Management.<br/>Information Storage and Retrieval.<br/>Data Mining and Knowledge Discovery.<br/>Computational Science and Engineering.<br/>Mathematical Applications in Computer Science.<br/>Communications Engineering, Networks.