Encyclopedia of big data / Laurie A. Schintler, Connie L. McNeely, editors.
Schintler, Laurie A. (Laurie Anne), editor.; McNeely, Connie L., editor.
2022
QA76.9.B45
Available Online

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Title
Encyclopedia of big data / Laurie A. Schintler, Connie L. McNeely, editors.
ISBN
9783319320106 (electronic bk.)
3319320106 (electronic bk.)
9783319320090
3319320092
9783319320113 (print and electronic bundle)
DOI
https://doi.org/10.1007/978-3-319-32010-6
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource (1 volume)
Item Number
10.1007/978-3-319-32010-6 doi
Call Number
QA76.9.B45
Dewey Decimal Classification
005.703
Summary
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as "Big Data." Social media and crowdsourcing platforms and various applications "apps" are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In todays economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Schintler, Laurie A. (Laurie Anne), editor.
McNeely, Connie L., editor.
Available in Other Form
Encyclopedia of big data.
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Advertising Targeting
Algorithm
Algorithmic Accountability
American Bar Association
American Civil Liberties Union
American Library Association
Animals
Anonymity
Anonymization techniques
Anthropology
Apple
Archaeology
Arts
Asian Americans Advancing Justice
Association vs. Causation
Astronomy
Automated Modeling/Decision Making
Behavioral Analytics
Belgium
Big Data Business Model Maturity Index
Big Data Storytelling, Digital Storytelling
Big Humanities Project
Big Variety Data
Bioinformatics
Biomedical Data
Biometrics
Biosurveillance
Blogs
Brand Monitoring
Business-to-Business (B2B)
Business-to-Community (B2C)
Cancer
Cell Phone Data
Center for National Security Studies
Charter of Fundamental Rights (EU)
Clickstream Analytics
Cloud Services
Common Sense Media
Communications
Complex Networks
Computational Social Sciences
Computer Science
Content Management System (CMS)
Content Moderation
Correlation vs. Causation
Criminology and Law Enforcement
Crowdsourcing
Cultural Analytics
Curriculum, Higher Education, Humanities
Curriculum, Higher Education, Social sciences
Cyber Espionage
Cyber Threats/Attacks
Cybersecurity
Data Integration
Data Mining
Data Model, Data Modeling
Data Monetization
Data Provenance
Data Repository
Data Science
Data Scientist
Data Visualization
Data-Driven Marketing
Data-Information-Knowledge-Action Model
Decision Theory
Decision Tree
Demographic Data
Digital Advertising Alliance
Digital Divide
Digital Knowledge Network Divide
Digital Libraries
Digital Literacy
Digitization
Discovery Analytics
Diversity
Drones
Drug Enforcement Administration
e-commerce
Economics
Education
Education and Training
Electronic Health Records (EHR)
Energy
Entertainment
Environment
Epidemeology
European Commission
European Commission: Directorate-General for Justice (Data Protection Division)
European Union
European Union Data Protection Supervisor
Evidence-Based Medicine
Facebook
Facial Recognition Technologies
Federal Bureau of Investigation (FBI)
Financial Data and Trend Prediction
Financial Services
Fourth Amendment
France
Future of Privacy
Gender and Sexuality
Genealogy
Geography
Germany
Google
Google Analytics
Google Flu
Governance
Health Care Delivery
Health Informatics
HIPAA
Human Resources Management
Humanities (Digital Humanities)
Industrial and Commercial Bank of China
Information Commissioner, United Kingdom
Information Society
Interactive Data Visualization
International Development
International Labor Organization
International Nongovernmental Organizations (INGOs)
Internet
Internet Association, The
Internet of Things
Italy
Journalism
Keystroke Capture
Knowledge Management
LexisNexis
Link Prediction
Link/Graph Mining
LinkedIn
Marketing/Advertising
Mathematics
Media
Medicaid
Metadata
Military Operations, Counter-Intelligence
Military Operations, Counter-Terrorism
Mobile Analytics
National Association for the Advancement of Colored People
National Geospatial-Intelligence Agency
National Oceanic and Atmospheric Administration
National Organization for Women
National Security Administration (NSA)
Netflix
Netherlands
Network Advertising Initiative
Network Analytics
Neural Networks
Neuroscience
NoSQL (Not Structured Query Language)
Nutrition
Online Advertising
Online Identity
Ontologies
Open Data
Open Society Foundations
Open-Source Software
Organiztion of American States
Participatory Health
Patient Records
Patient-Centered (Personalized) Health
PatientsLikeMe
Pharmaceutical Industry
Physics
Policy Analysis
Political Science
Pollution, Air
Pollution, Land
Pollution, Water
Predictive Analytics
Prevention
Privacy
Psychology
Regression
Religion
Risk Analysis
Robinson & Yu LLC
R-Programming
SalesForce
Scientometrics
Semantic Web
Semantic/Content Analysis/Natural Language Process
Semi-Structured Data
Sentiment Analysis
Smart Cities
Social Media
Social Network Analysis (SNA)
Social Sciences
Sociology
South Korea
Spain
Spatial Data
Storage
Supercomputing, Exascale Computing, High Performance Computing
Supreme Court
Tableau Software
Telemedicine
Text Analytics
Transparency
Treatment
United Nations Educational, Scientific and Cultural Organization (UNESCO)
Visualization
Volunteered Geographic Information (VGI)
White House Big Data Initiative
White House Brain Initiative
Wikileaks
Wikipedia
Workforce
World Bank
Zappos
Zillow.

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