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Big Data

Editor-in-Chief: Vasant Dhar

ISSN: 2167-6461 • Online ISSN: 2167-647X • Published Quarterly

Current Volume: 5

Latest Impact Factor* is 1.239

*2016 Journal Citation Reports® (Clarivate Analytics, 2017)

Big Data and the Cloud--Data Analytics, Security, & Notebooks: An Expert Panel Discussion

CALL FOR PAPERS: Special Issue on Profit Driven Analytics

Liebert Open Access Publish open access in this Journal.
LiebertOpenAccess.com

Featured Press Releases and Editorial Content

  • New Model for Better Predicting Presidential Election Outcomes Based on Single-Show Television Viewership...Read More
  • Industry Experts Discuss Advantages and Perceived Risks of Shifting Data Analytics to the Cloud...Read More
  • DOOMED Is New Online Learning Approach to Robotics Modeling...Read More
  • Healthcare Analytics on the Microsoft Cloud Platform...Read More
  • A New Open Source Dataset Links Human Motion and Language...Read More
  • Novel Tensor Mining Tool to Enable Automated Modeling Described in Big Data...Read More
  • When Is Big Data Too Big? Making Data-Based Models Comprehensible...Read More
  • Real-Time Visualization Tool Reveals Behavioral Patterns in Bitcoin Transactions...Read More
  • Novel Type 2 Diabetes Risk Model More Accurately Assesses Disease Trajectory...Read More
  • Vasant Dhar, Director of NYU Stern's Center for Business Analytics, Appointed Editor-in-Chief of Big Data...Read More

Overview

Big Data, a highly innovative, peer-reviewed journal, provides a unique forum for world-class research exploring the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data, including data science, big data infrastructure and analytics, and pervasive computing.

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.

Big Data coverage includes:

  • Big data industry standards
  • New technologies being developed specifically for big data
  • Data acquisition, cleaning, distribution, and best practices
  • Data protection, privacy, and policy 
  • Business interests from research to product
  • The changing role of business intelligence
  • Visualization and design principles of big data infrastructures
  • Physical interfaces and robotics
  • Social networking advantages for Facebook, Twitter, Amazon, Google, etc.
  • Opportunities around big data and how companies can harness it to their advantage

Big Data is under the editorial leadership of Editor-in-Chief Vasant Dhar, PhD, Stern School of Business, New York University, and other leading investigators. View the entire editorial board.

Audience: Data miners, computer scientists, statisticians, researchers, chief data scientists, database engineers, software engineers, web developers, policy makers, CEOs of data startups, professors of computer science, mathematics, physics, statistics, and computational biology, among others.

Indexed/Abstracted in:

MEDLINE; PubMed; PubMed Central; Science Citation Index Expanded; Journal Citation Reports/Science Edition; Scopus
 

The views, opinions, findings, conclusions and recommendations set forth in any Journal article are solely those of the authors of those articles and do not necessarily reflect the views, policy or position of the Journal, its Publisher, its editorial staff or any affiliated Societies and should not be attributed to any of them.

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