Big Data

Published in Association with Mary Ann Liebert
Current Volume: 14 | Current Issue: 3 | ISSN: 21676461 | ESSN: 2167647X |
Big Data
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Description

This leading peer-reviewed journal covers the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.

Description

This leading peer-reviewed journal covers the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.
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Big Data

Published in Association with Mary Ann Liebert

Current Volume: 14 | Current Issue: 3 | ISSN: 21676461 | ESSN: 2167647X | Frequency: Bi Monthly | Submission Guidelines | Get Email Alerts

Subscription Type Format Price
Individual rates Individual Subscription, E-access $549.00

This leading peer-reviewed journal covers the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.