Big data
Resource Information
The concept Big data represents the subject, aboutness, idea or notion of resources found in European University Institute.
The Resource
Big data
Resource Information
The concept Big data represents the subject, aboutness, idea or notion of resources found in European University Institute.
- Label
- Big data
185 Items that share the Concept Big data
Context
Context of Big dataSubject of
No resources found
No enriched resources found
- A practical guide to analytics for governments : using big data for good
- Actionable intelligence : a guide to delivering business results with big data fast!
- Advanced R
- Advanced Statistical Methods in Data Science
- Advanced analytics with Spark
- An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch
- An Introduction to Sequential Monte Carlo
- Analysis of multivariate and high-dimensional data
- Analyzing Dependent Data with Vine Copulas : A Practical Guide With R
- Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using SPSS, Stata, and Excel
- Applied data analytics : principles and applications
- Artificial intelligence and big data : the birth of a new intelligence
- Beautiful data : a history of vision and reason since 1945
- Beginning big data with Power BI and Excel 2013
- Big Data Bootcamp : What Managers Need to Know to Profit from the Big Data Revolution
- Big Data for Managers : Creating Value
- Big Data in Context : Legal, Social and Technological Insights
- Big Digital Humanities : imagining a meeting place for the humanities and the digital
- Big and Complex Data Analysis : Methodologies and Applications
- Big data : promise, application and pitfalls
- Big data : techniques and technologies in geoinformatics
- Big data : understanding how data powers big business
- Big data analytics : tools and technology for effective planning
- Big data analytics for large-scale multimedia search
- Big data analytics using multiple criteria decision-making models
- Big data analytics. : a social network approach
- Big data and Society
- Big data and cloud computing for development : lessons from key industries and economies in the global south
- Big data and computational intelligence in networking
- Big data and machine learning in quantitative investment
- Big data and social science : a practical guide to methods and tools
- Big data and the computable society : algorithms and people in the digital world
- Big data demystified : how to use big data, data science and AI to make better business decisions and gain competitive advantage
- Big data for insurance companies
- Big data for regional science
- Big data fundamentals : concepts, drivers & techniques
- Big data in complex and social networks
- Big data in education : the digital future of learning, policy and practice
- Big data in organizations and the role of human resource management : a complex systems theory-based conceptualization
- Big data is not a monolith
- Big data management : data governance principles for big data analytics
- Big data mining and machine learning : value creation for business leaders and practitioners
- Big data over networks
- Big data, IoT, and machine learning : tools and applications
- Big data, crime and social control
- Big data, health law, and bioethics
- Big data, mining, and analytics : components of strategic decision making
- Building Trust in Information : Perspectives on the Frontiers of Provenance
- Building big data applications
- Business analytics : a contemporary approach
- Business intelligence and big data : drivers of organizational success
- Computational and Methodological Statistics and Biostatistics : Contemporary Essays in Advancement
- Computational and statistical methods for analysing big data with applications
- Computational intelligence applications in business and big data analytics
- Consumer data research
- Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang
- Creating good data : a guide to dataset structure and data representation
- Dark data : why what you don't know matters
- Data Analysis and Rationality in a Complex World
- Data Capital : How Data is Reinventing Capital for Globalization
- Data Collection in Fragile States : Innovations from Africa and Beyond
- Data Privacy and Trust in Cloud Computing : Building trust in the cloud through assurance and accountability
- Data Protection Law : A Comparative Analysis of Asia-Pacific and European Approaches
- Data Wrangling with R
- Data analytics : concepts, techniques, and applications
- Data analytics and big data
- Data analytics applications in education
- Data analytics with Spark using Python
- Data architecture : a primer for the data scientist : big data, data warehouse and data vault
- Data intensive computing applications for big data
- Data mining in time series and streaming databases
- Data science
- Data science with Python and Dask
- Data teams : a unified management model for successful data-focused teams
- Data-driven law : data analytics and the new legal services
- Dataclysm : love, sex, race, and identity - what our online lives tell us about our offline selves
- Decision Support Using Nonparametric Statistics
- Deep learning innovations and their convergence with big data
- Designing Digital Work : Concepts and Methods for Human-centered Digitization
- Digital humanitarians : how big data is changing the face of humanitarian response
- Digital objects, digital subjects : interdisciplinary perspectives on capitalism, labour and politics in the age of big data
- Disrupting Finance : FinTech and Strategy in the 21st Century
- Doing data science : [straight talk from the frontline]
- Dynamic Data Analysis : Modeling Data with Differential Equations
- Essays in honor of Cheng Hsiao
- Exploring big historical data : the historian's macroscope
- Flexible regression and smoothing : using GAMLSS in R
- Framing Big Data : A Linguistic and Discursive Approach
- From big data to big profits : success with data and analytics
- Frontiers in data science
- Functional Statistics and Related Fields
- Functional and High-Dimensional Statistics and Related Fields
- Fundamentals of Data Analytics : With a View to Machine Learning
- Fundamentals of big data : network analysis for research and industry
- Fusing Big Data, Blockchain and Cryptocurrency : Their Individual and Combined Importance in the Digital Economy
- Gary King on big data analysis : Podcast
- Getting started with data science : making sense of data with analytics
- Google bigquery analytics
- Healthcare and Big Data : Digital Specters and Phantom Objects
- Heterogeneity, High Performance Computing, Self-Organization and the Cloud
- High performance computing for big data : methodologies and applications
- High-dimensional statistics : a non-asymptotic viewpoint
- Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
- Industry 4.0 for SMEs : Challenges, Opportunities and Requirements
- Introduction to Data Systems : Building from Python
- Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R
- Introduction to high-dimensional statistics
- Iris Bohnet on discrimination and design : Podcast
- It's all analytics! : the foundations of AI, big data, and data science landscape for professionals in healthcare, business, and government
- L'impossible patrimoine numérique? : mémoire & traces
- Learning to love data science : explorations of emerging technologies and platforms for predictive analytics, machine learning, digital manufacturing, and supply chain optimization
- Life and the law in the era of data-driven agency
- Machine learning and big data with KDB+/Q
- Machine learning for big data analyis
- Macroeconomic Forecasting in the Era of Big Data : Theory and Practice
- Mathematical Foundations of Data Science Using R
- Measuring the Business Value of Cloud Computing
- Measuring the Data Universe : Data Integration Using Statistical Data and Metadata Exchange
- Melinda Mills on sociogenomics : Podcast
- Metadata for information management and retrieval : understanding metadata and its use
- Modern big data architectures : a multi-agent systems perspective
- Modern data science with R
- Modern technologies for big data classification and clustering
- Multifractal Detrended Analysis Method and Its Application in Financial Markets
- Multivariate Methods and Forecasting with IBM® SPSS® Statistics
- Networking for big data
- Neuroeconomic and Behavioral Aspects of Decision Making : Proceedings of the 2016 Computational Methods in Experimental Economics (CMEE) Conference
- New Advances in Statistics and Data Science
- New Frontiers of Biostatistics and Bioinformatics
- Open Cities : Collaborative Cities in the Information Era
- Operations Research Proceedings 2018 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018
- Optimization and Decision Science: Methodologies and Applications : ODS, Sorrento, Italy, September 4-7, 2017
- Pattern recognition and big data
- Policy Analytics, Modelling, and Informatics : Innovative Tools for Solving Complex Social Problems
- Practical DataOps : delivering agile data science at scale
- Practical data analysis : transform, model, and visualize your data through hands-on projects, developed in open source tools
- Practical text analytics : interpreting text and unstructured data for business intelligence
- Predictive analysis on large data for actionable knowledge : emerging research and opportunities
- Primer for Data Analytics and Graduate Study in Statistics
- Principles and practices of big data : preparing, sharing, and analyzing complex information
- Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics
- Qualitative Research Using R: A Systematic Approach
- Quantitative Analysis and IBM® SPSS® Statistics : A Guide for Business and Finance
- R for data science : import, tidy, transform, visualize, and model data
- Random Forests with R
- Reality mining : using big data to engineer a better world
- Regulating New Technologies in Uncertain Times
- Research analytics : boosting university productivity and competitiveness through scientometrics
- Robo-Advisory : Investing in the Digital Age
- SQL server big data clusters : data virtualization, data lake, and AI platform
- Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
- Seeing around corners : how to unlock the potential of big data
- Selected Contributions on Statistics and Data Science in Latin America : 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5
- Self-Tracking : Empirical and Philosophical Investigations
- Signal processing and networking for big data applications
- Social Network Based Big Data Analysis and Applications
- Statistical Analysis of Microbiome Data with R
- Statistical Learning of Complex Data
- Statistical Methods and Applications in Forestry and Environmental Sciences
- Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field
- Statistics for Health Data Science : An Organic Approach
- Stochastic Models, Statistics and Their Applications : Dresden, Germany, March 2019
- Streaming, sharing, stealing : big data and the future of entertainment
- Sweetie 2.0 : Using Artificial Intelligence to Fight Webcam Child Sex Tourism
- Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
- The Cloud-to-Thing Continuum : Opportunities and Challenges in Cloud, Fog and Edge Computing
- The Econometrics of Multi-dimensional Panels : Theory and Applications
- The Right To Be Forgotten : A Comparative Study of the Emergent Right's Evolution and Application in Europe, the Americas, and Asia
- The World of Open Data : Concepts, Methods, Tools and Experiences
- The accidental data scientist : big data applications and opportunities for librarians and information professionals
- The book of alternative data : a guide for investors, traders and risk managers
- The data revolution : big data, open data, data infrastructures and their consequences
- The decision maker's handbook to data science : a guide for non-technical executives, managers, and founders
- The efficiency paradox : what big data can't do
- The influences of big data analytics : is big data a disruptive technology?
- The intelligent enterprise in the era of big data
- The metric society : on the quantification of the social
- The new big science : linking data to understand people in context
- Thinking big data in geography : new regimes, new research
- Transatlantic Data Protection in Practice
- Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention
- Value of information : intellectual property, privacy and big data
- Veracity of big data : machine learning and other approaches to verifying truthfulness
- Visualizing streaming data : interactive analysis beyond static limits
- Working with the American Community Survey in R : A Guide to Using the acs Package
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/E_Jjsp5T-yo/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/E_Jjsp5T-yo/">Big data</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Concept Big data
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/E_Jjsp5T-yo/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/E_Jjsp5T-yo/">Big data</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
