Big data
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The concept Big data represents the subject, aboutness, idea or notion of resources found in University of Liverpool.
The Resource
Big data
Resource Information
The concept Big data represents the subject, aboutness, idea or notion of resources found in University of Liverpool.
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- Big data
100+ Items that share the Concept Big data
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Context of Big dataSubject of
- A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
- A practical guide to analytics for governments : using big data for good
- AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots
- Actionable intelligence : a guide to delivering business results with big data fast!
- Actionable intelligence in healthcare
- Adaptive Mobile Computing
- Adaptive mobile computing : advances in processing mobile data sets
- Advanced Splunk
- Advanced data analytics in health
- Advances in information systems set, Volume 1, From big data to smart data
- Advances in mobile cloud computing and big data in the 5G era
- Advances in systematic creativity : creating and managing innovations
- An Introduction to Machine Learning
- An architecture for fast and general data processing on large clusters
- An introduction to data : everything you need to know about AI, big data and data science
- Analysis of large and complex data
- Analysis of multivariate and high-dimensional data
- Analytics and data science : advances in research and pedagogy
- Analytics and dynamic customer strategy : big profits from big data
- Analytics for insurance : the real business of big data
- Analytics for insurance : the real business of big data
- Analytics in a big data world : the essential guide to data science and its applications
- Application of big data for national security : a practitioner's guide to emerging technologies
- Applications of big data analytics : trends, issues and challenges
- Artificial Intelligence for Fashion Industry in the Big Data Era
- Artificial intelligence for fashion : how AI is revolutionizing the fashion industry
- Beginning Apache Pig : Big Data processing made easy
- Beginning big data with Power BI and Excel 2013
- Behavior Engineering and Applications
- Berechenbarkeit der Welt? : Philosophie und Wissenschaft im Zeitalter von Big Data
- Big Data Analytics : Proceedings of CSI 2015
- Big Data Factories : Collaborative Approaches
- Big Data für Entscheider : Entwicklung und Umsetzung datengetriebener Geschäftsmodelle
- Big Data im Gesundheitswesen kompakt : Konzepte, Lösungen, Visionen
- Big Data und Gesellschaft : eine multidisziplinäre Annäherung
- Big Data-driven World : Legislation Issues and Control Technologies
- Big and complex data analysis : methodologies and applications
- Big data 2.0 processing systems : a survey
- Big data : a very short introduction
- Big data : algorithms, analytics, and applications
- Big data : algorithms, analytics, and applications
- Big data : opportunities and challenges
- Big data : principles and paradigms
- Big data : related technologies, challenges and future prospects
- Big data : storage, sharing, and security
- Big data : using smart big data, analytics and metrics to make better decisions and improve performance
- Big data : using smart big data, analytics and metrics to make better decisions and improve performance
- Big data MBA : driving business strategies with data science
- Big data SMACK : a guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
- Big data analysis : new algorithms for a new society
- Big data analysis for bioinformatics and biomedical discoveries
- Big data analytics : a management perspective
- Big data analytics : a practical guide for managers
- Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
- Big data analytics : methods and applications
- Big data analytics for sensor-network collected intelligence
- Big data analytics in genomics
- Big data analytics using Splunk
- Big data analytics with R and Hadoop
- Big data analytics with Spark : a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing
- Big data and analytics : strategic and organizational impacts
- Big data and cloud computing for development : lessons from key industries and economies in the Global South
- Big data and differential privacy : analysis strategies for railway track engineering
- Big data and internet of things : a roadmap for smart environments
- Big data and learning analytics in higher education : current theory and practice
- Big data and smart service systems
- Big data and smart service systems
- Big data and social science : a practical guide to methods and tools
- Big data and visual analytics
- Big data application architecture Q & A : a problem-solution approach
- Big data application in power systems
- Big data applications and use cases
- Big data bootcamp : what managers need to know to profit from the big data revolution
- Big data computing : a guide for business and technology managers
- Big data concepts, theories, and applications
- Big data for dummies
- Big data for remote sensing : visualization, analysis and interpretation : digital Earth and smart Earth
- Big data for urban sustainability : a human-centered perspective
- Big data imperatives : enterprise big data warehouse, BI implementations and analytics
- Big data in cognitive science
- Big data in complex and social networks
- Big data in complex systems : challenges and opportunities
- Big data in context : legal, social and technological insights
- Big data in education : the digital future of learning, policy and practice
- Big data in engineering applications
- Big data in healthcare : extracting knowledge from point-of-care machines
- Big data in organizations and the role of human resource management : a complex systems theory-based conceptualization
- Big data in practice : how 45 successful companies used big data analytics to deliver extraordinary
- Big data in the enterprise : an introduction
- Big data integration
- Big data integration theory : theory and methods of database mappings, programming languages, and semantics
- Big data is not a monolith
- Big data management and processing
- Big data management, technologies, and applications
- Big data of complex networks
- Big data optimization : recent developments and challenges
- Big data over networks
- Big data processing using Spark in cloud
- Big data revolution : what farmers, doctors and insurance agents teach us about discovering big data patterns
- Big data support of urban planning and management : the experience in China
- Big data technologies and applications
- Big data visualization : learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization
- Big data war : how to survive global big data competition
- Big data, big innovation : enabling competitive differentiation through business analytics
- Big data, data mining, and machine learning : value creation for business leaders and practitioners
- Big data, data mining, and machine learning : value creation for business leaders and practitioners
- Big data, health law, and bioethics
- Big data, mining, and analytics : components of strategic decision making
- Big data-enabled nursing : education, research and practice
- Big data? : qualitative approaches to digital research
- Big data? : qualitative approaches to digital research
- Big digital forensic data, Volume 1, Data reduction framework and selective imaging
- Big digital humanities : imagining a meeting place for the humanities and the digital
- Big social mobile : how digital initiatives can reshape the enterprise and drive business results
- Big visual data analysis : scene classification and geometric labeling
- Big-data analytics and cloud computing : theory, algorithms and applications
- Big-data analytics for Cloud, IoT and cognitive computing
- Biometric security and privacy : opportunities & challenges in the big data era
- Business Information Systems : 19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016, Proceedings
- Business Information Systems : 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings
- Business Intelligence : 5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015, Tutorial Lectures
- Business Intelligence : 6th European Summer School, eBISS 2016, Tours, France, July 3-8, 2016, Tutorial Lectures
- Business intelligence strategy and big data analytics : a general management perspective
- CABology : value of cloud, analytics and big data trio wave
- COMPUTING WITH DATA : an introduction to the data industry
- Cloud computing and big data
- Cloud computing and big data : technologies, applications and security
- Cloud networking for big data
- Clustering methods for big data analytics : techniques, toolboxes and applications
- Cognitive computing and big data analytics
- Cognitive computing for big data systems over IoT : frameworks, tools and applications
- Cognitive networked sensing and big data
- Complete guide to open source big data stack
- Compromised data : from social media to big data
- Computational and statistical methods for analysing big data with applications
- Computational intelligence and big data analytics : applications in bioinformatics
- Computational intelligence for multimedia big data on the cloud with engineering applications
- Computational red teaming : risk analytics of big-data-to-decisions intelligent systems
- Consumer data research
- Data Science -- was ist das eigentlich?! : Algorithmen des maschinellen Lernens verständlich erklärt
- Data Science and Digital Business
- Data crush : how the information tidal wave is driving new business opportunities
- Data divination : big data strategies
- Data driven : how performance analytics delivers extraordinary sales results
- Data profiling and insurance law
- Data science & big data analytics : discovering, analyzing, visualizing and presenting data
- Data science : create teams that ask the right questions and deliver real value
- Data science and big data : an environment of computational intelligence
- Data science and big data computing : frameworks and methodologies
- Data science and predictive analytics : biomedical and health applications using R
- Data science in practice
- Data science landscape : towards research standards and protocols
- Data science thinking : the next scientific, technological and economic revolution
- Data warehousing in the age of big data
- Data-driven law : data analytics and the new legal services
- Data-intensive systems : principles and fundamentals using Hadoop and Spark
- Dataclysm : who we are when we think no one's looking
- Deep Learning : convergence to big data analytics
- Descriptive data mining
- Developing analytic talent : becoming a data scientist
- Digital enlightenment yearbook., 2014, Social networks and social machines, surveillance and empowerment
- Digitalisierung im Controlling
- Disk-based algorithms for big data
- Distributed computing in big data analytics : concepts, technologies and applications
- Docker for data science : building scalable and extensible data infrastructure around the Jupyter Notebook Server
- Doing data science
- E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life : 15th Workshop on e-Business, WEB 2015, Fort Worth, Texas, USA, December 12, 2015, Revised Selected Papers
- Emerging big data in medicinal chemistry : promiscuity analysis as an example
- Emerging technology and architecture for big-data analytics
- Engaging customers using big data : how marketing analytics are transforming business
- Enterprise Applications, Markets and Services in the Finance Industry : 8th International Workshop, FinanceCom 2016, Frankfurt, Germany, December 8, 2016, Revised Papers
- Enterprise Applications, Markets and Services in the Finance Industry : 8th International Workshop, FinanceCom 2016, Frankfurt, Germany, December 8, 2016, Revised Papers
- Enterprise business intelligence and data warehousing : program management essentials
- Enterprise security landscape.
- Entity information life cycle for big data : master data management and information integration
- Entity information life cycle for big data : master data management and information integration
- Exploring big historical data : the historian's macroscope
- Fast data processing with Spark
- Flexible regression and smoothing : using GAMLSS in R
- Fog Computing, Deep Learning and Big Data Analytics-Research Directions
- From big data to big profits : success with data and analytics
- Fundamentals of big data : network analysis for research and industry
- Fundamentals of big data network analysis for research and industry
- Generalized principal component analysis
- Getting started with Greenplum for big data analytics
- Green information technology : a sustainable approach
- Guide to big data applications
- Hadoop 2.x administration cookbook : administer and maintain large Apache Hadoop clusters
- Handbook of big data
- Harness oil and gas big data with analytics : optimize exploration and production with data driven models
- Healthcare and big data : digital specters and phantom objects
- High-dimensional statistics : a non-asymptotic viewpoint
- High-performance big-data analytics : computing systems and approaches
- High-utility pattern mining : theory, algorithms and applications
- Highlighting the importance of big data management and analysis for various applications
- Information granularity, big data, and computational intelligence
- Information management : strategies for gaining a competitive advantage with data
- Insiders' guide to technology-assisted review (TAR)
- Integrated business information systems : a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big data
- Intelligent methods and big data in industrial applications
- Intelligent techniques for data science
- Internet of things and big data analytics toward next-generation intelligence
- Internet of things and big data technologies for next generation healthcare
- Introducing the oscillations based paradigm : the simulation of agents and social systems
- Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R
- Inventing the Cloud Century : How Cloudiness Keeps Changing Our Life, Economy and Technology
- IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world
- Knowledge computing and its applications : knowledge computing in specific domains, Volume II
- Knowledge computing and its applications : knowledge manipulation and processing techniques, Volume 1
- Large group decision making : creating decision support approaches at scale
- Large scale data analytics
- Learning big data with Amazon Elastic MapReduce : easily learn, build, and execute real-world big data solutions using Hadoop and AWS EMR
- Learning from data streams in evolving environments : methods and applications
- Learning from imbalanced data sets
- Machine intelligence and big data in industry
- Mastering data-intensive collaboration and decision making : research and practical applications in the Dicode Project
- Mathematical problems in data science : theoretical and practical methods
- Metadata for information management and retrieval : understanding metadata and its use
- Metaheuristics for data clustering and image segmentation
- Methodological developments in data linkage
- Mind+machine : a decision model for optimizing and implementing analytics
- Mining of massive datasets
- Mobile big data
- Mobility patterns, big data and transport analytics : tools and applications for modeling
- Modeling and processing for next-generation big-data technologies : with applications and case studies
- Modern enterprise business intelligence and data management : a roadmap for IT directors, managers, and architects
- Multivariate methods and forecasting with IBM® SPSS® statistics
- Network data analytics : a hands-on approach for application development
- New advances in statistics and data science
- New challenges for data design
- Next-Generation Big Data : A Practical Guide to Apache Kudu, Impala, and Spark
- Online marketing and big data exploration
- Operations research proceedings 2016 : selected papers of the annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016
- Optimize your greatest asset--your people : how to apply analytics to big data to improve your human capital investments
- Pentaho analytics for MongoDB : combine pentaho analytics and MongoDB to create powerful analysis and reporting solutions
- Practical Enterprise Data Lake Insights : handle data-driven challenges in an Enterprise Big Data Lake
- Practical Graph Analytics with Apache Giraph
- Practical MongoDB : architecting, developing, and administering MongoDB
- Practical business analytics using SAS : a hands-on guide
- Practical concurrent Haskell : with big data applications
- Predictive Data Mining Models
- Predictive econometrics and big data
- Principles and practice of big data : preparing, sharing, and analyzing complex information
- Principles of big data : preparing, sharing, and analyzing complex information
- Principles of big data : preparing, sharing, and analyzing complex information
- Pro Apache Hadoop
- Pro Spark streaming : the zen of real-time analytics using Apache Spark
- Processing big data with Azure HDInsight : building real-world big data systems on Azure HDInsight using the Hadoop ecosystem
- Profit drive business analytics : a practitioner's guide to transforming big data into added value
- Real-time & stream data management : push-based data in research & practice
- Reality mining : using big data to engineer a better world
- Regression with big data
- Reliability assurance of big data in the cloud : cost-effective replication-based storage
- Research and Practical Issues of Enterprise Information Systems : 10th IFIP WG 8.9 Working Conference, CONFENIS 2016, Vienna, Austria, December 13--14, 2016, Proceedings
- Research and Practical Issues of Enterprise Information Systems : 10th IFIP WG 8.9 Working Conference, CONFENIS 2016, Vienna, Austria, December 13-14, 2016, Proceedings
- Reshaping society through analytics, collaboration, and decision support : role of business intelligence and social media
- Resource management for big data platforms : algorithms, modelling, and high-performance computing techniques
- Risk management and big data
- Robust representation for data analytics : models and applications
- Rule based systems for big data : a machine learning approach
- SQL on big data : technology, architecture, and innovation
- Scalable big data architecture : a practitioner's guide to choosing relevant big data architecture
- Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
- Searching for information online : using big data to identify the concerns of potential Army recruits
- Seeing cities through big data : research, methods and applications in urban informatics
- Semantic applications : methodology, technology, corporate use
- Signal processing and networking for big data applications
- Signal processing and networking for big data applications
- Smart data analytics : Zusammenhänge erkennen, Potentiale nutzen, Big Data verstehen
- Social sensing : building reliable systems on unreliable data
- Software architecture for big data and the cloud
- Solving large scale learning tasks : challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday
- Spark : big data cluster computing in production
- Spatial big data science : classification techniques for Earth observation imagery
- Spatial network big databases : queries and storage methods
- Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise
- Statistics for big data for dummies
- Strategic engineering for cloud computing and big data analytics
- Streaming, sharing, stealing : big data and the future of entertainment
- Structured search for big data : from keywords to key-objects
- Structuring big data
- Techniques and environments for big data analysis : parallel, cloud, and grid computing
- Text mining : concepts, implementation, and big data challenge
- The Econometrics of Multi-dimensional Panels : Theory and Applications
- The accidental data scientist : big data applications and opportunities for librarians and information professionals
- The analytic hospitality executive : implementing data analytics in hotels and casinos
- The analytics revolution : how to improve your business by making analytics operational in the big data era
- The big data-driven business : how to use big data to win customers, beat competitors, and boost profits
- The data and analytics playbook : proven methods for governed data and analytic quality
- The human element of big data : issues, analytics, and performance
- The intelligent enterprise in the era of big data
- The intelligent enterprise in the era of big data
- The internet of things & data analytics handbook
- The rise of big spatial data
- The visual organization : data visualization, big data, and the quest for better decisions
- Think bigger : developing a successful big data strategy for your business
- Thinking big data in geography : new regimes, new research
- Threat forecasting : leveraging big data for predictive analysis
- Too big to ignore : the business case for big data
- Toward information justice : technology, politics, and policy for data in higher education administration
- Towards analytical techniques for optimizing knowledge acquisition, processing, propagation, and use in cyberinfrastructure and big data
- Transactions on large-scale data- and knowledge-centered systems XIX : special issue on big data and open data
- Transactions on large-scale data- and knowledge-centered systems XXVII : special issue on big data for complex urban systems
- Transactions on large-scale data- and knowledge-centered systems XXXII : special issue on big data analytics and knowledge discovery
- Transactions on large-scale data- and knowledge-centered systems XXXIII
- Transportation analytics in the era of big data
- Uncertainty modelling in data science
- Understanding Azure Data Factory : Operationalizing Big Data and Advanced Analytics Solutions
- Unsupervised learning : a dynamic approach
- Virtuelle Bilderwolken : Eine qualitative Big Data-Analyse der Geschmackskulturen im Internet
- We are Big data : the future of the information society
- Web microanalysis of big image data
- Whither turbulence and big data in the 21st century?
- Überleben und Wachsen in der Sofortgesellschaft : Wie Sie Ihrem Unternehmen durch Big Data und Value Chain Wettbewerbsvorteile verschaffen
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/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.liverpool.ac.uk/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.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/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.liverpool.ac.uk/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.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
