Journal of big data.

Format:

Journal/Periodical

Language:

English

Subjects (All):

Big data--Periodicals.

Big data.

Data mining--Periodicals.

Data mining.

Cyberinfrastructure--Periodicals.

Cyberinfrastructure.

Data Mining.

Access to Information.

Information Dissemination.

Information Storage and Retrieval.

Medical Subjects:

Data Mining.

Access to Information.

Information Dissemination.

Information Storage and Retrieval.

Genre:

Fulltext.

Internet Resources.

Periodicals.

Physical Description:

1 online resource

Irregular

Began with 1:1 (24 June 2014).

Place of Publication:

Heidelberg, Germany : Springer-Verlag, GmbH, 2014-

System Details:

Mode of access: World Wide Web.

Summary:

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.

Notes:

Refereed/Peer-reviewed

1:1 (24 June 2014); title from journal homepage (SpringerOpen web site, viewed July 23, 2014).

4:3 (10 October 10) (viewed October 13, 2017).

OCLC:

884468200

Access Restriction:

Unrestricted online access