Big data.
Overview
Works: | 593 works in 495 publications in 495 languages |
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Titles
The visual organization :data visualization, big data, and the quest for better decisions /
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Talend for big data :access, transform, and integrate data using Talend's open source, extensible tools /
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Big data, data mining and machine learning :value creation for business leaders and practitioners /
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Data mining and knowledge discovery for big datamethodologies, challenge and opportunities /
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Big data integration theorytheory and methods of database mappings, programming languages, and semantics /
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Mastering data-intensive collaboration and decision makingresearch and practical applications in the Dicode Project /
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Predictive analytics, data mining and big data :myths, misconceptions and methods /
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Big data bootcampwhat managers need to know to profit from the big data revolution /
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Big data analyticsfrom strategic planning to enterprise integration with tools, techniques, NoSQL, and graph /
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Principles of big datapreparing, sharing, and analyzing complex information /
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Modeling and processing for next-generation big-data technologieswith applications and case studies /
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Reshaping society through analytics, collaboration, and decision supportrole of business intelligence and social media /
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Transactions on large-scale data- and knowledge-centered systems XIXSpecial Issue on Big Data and Open Data /
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Transactions on large-scale data- and knowledge-centered systems XXspecial issue on advances techniques for big data management /
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Handbook of research on organizational transformations through big data analytics /
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Thinking aheadessays on big data, digital revolution, and participatory market society /
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Computational intelligence for big data analysisfrontier advances and applications /
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Information management strategies for gaining a competitive advantage with data
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Big data and the internet of thingsenterprise information architecture for a new age /
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Big data analytics with Sparka practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing /
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Big-data analytics and cloud computingtheory, algorithms and applications /
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Machine Learning Models and Algorithms for Big Data ClassificationThinking with Examples for Effective Learning /
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Scalable big data architecturea practitioner's guide to choosing relevant big data architecture /
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Techniques and environments for big data analysisparallel, cloud, and grid computing /
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Handbook of research on trends and future directions in big data and web intelligence
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Business intelligence5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015 : tutorial lectures /
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Humanizing big data :marketing at the meeting of data, social science and consumer insight /
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Business information systems19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016 : proceedings /
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Data architecturea primer for the data scientist : bigdata, data warehouse and data vault /
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Solving large scale learning taskschallenges and algorithms : essays dedicated to Katharina Morik on the Occasion of her 60th Birthday /
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Actionable intelligencea guide to delivering business results with big data fast! /
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Analytics in a big data worldthe essential guide to data science and its applications /
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Data science & big data analyticsdiscovering, analyzig, visualizing, and presenting data /
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E-Life : Web-Enabled Convergence of Commerce, Work, and Social Life15th Workshop on e-Business, WEB 2015, Fort Worth, Texas, USA, December 12, 2015 : revised selected papers /
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Transactions on large-scale data- and knowledge-centered systems XXVIIspecial issue on big data for complex urban systems /
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Big data SMACKa guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
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Resource management for big data platformsalgorithms, modelling, and high-performance computing techniques /
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Research and practical issues of enterprise information systems10th IFIP WG 8.9 Working Conference, CONFENIS 2016, Vienna, Austria, December 13-14, 2016 : proceedings /
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Data sciencecreate teams that ask the right questions and deliver real value /
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Big data and learning analytics in higher educationcurrent theory and practice /
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Biometric security and privacyopportunities & challenges in the big data era /
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Internet of things and big data technologies for next generation healthcare
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Seeing cities through big dataresearch, methods and applications in urban informatics /
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Handbook of research on advanced data mining techniques and applications for business intelligence
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Populating a linked data entity name systema big data solution to unsupervised instance matching /
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IoT solutions in Microsoft's Azure IoT suitedata acquisition and analysis in the real world /
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The analytic hospitality executiveimplementing data analytics in hotels and casinos /
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Computational and statistical methods for analysing big data with applications
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Business intelligence strategy and big data analyticsa general management perspective /
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The data and analytics playbookproven methods for governed data and analytic quality /
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Optimization and control for systems in the big-data eratheory and applications /
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Processing big data with Azure HDInsightbuilding real-world big data systems on Azure HDInsight using the Hadoop ecosystem /
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Integrated business information systemsa holistic view of the linked business process chain ERP-SCM-CRM-BI-Big data /
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Spatial big data scienceclassification techniques for Earth observation imagery /
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Transactions on large-scale data- and knowledge-centered systems XXXIIspecial issue on big data analytics and knowledge discovery /
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Distributed computing in big data analyticsconcepts, technologies and applications /
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Docker for data sciencebuilding scalable and extensible data infrastructure around the Jupyter Notebook Server /
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Social media analytics strategy :using data to optimize business performance /
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Big data and differential privacy :analysis strategies for railway track engineering /
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Operations research proceedings 2016selected papers of the annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016 /
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Highlighting the importance of big data management and analysis for various applications
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Internet of things and big data analytics toward next-generation intelligence
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Towards analytical techniques for optimizing knowledge acquisition, processing, propagation, and use in cyberinfrastructure and big data
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Big data support of urban planning and managementthe experience in China /
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Cognitive computing for big data systems over IoTframeworks, tools and applications /
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Toward information justicetechnology, politics, and policy for data in higher education administration /
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Knowledge computing and its applicationsknowledge manipulation and processing techniques.Volume 1 /
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Big data management and the Internet of things for improved health systems
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Handbook of research on pattern engineering system development for big data analytics
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Big data at workthe data science revolution and organizational psychology /
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Creating value with big data analyticsmaking smarter marketing decisions /
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Data science and analytics4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, Gurgaon, India, October 13-14, 2017, revised selected papers /
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Knowledge computing and its applicationsknowledge computing in specific domains.Volume II /
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Emerging trends in applications and infrastructures for computational biology, bioinformatics, and systems biologysystems and applications /
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Intelligent vehicular networks and communicationsfundamentals, architectures and solutions /
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Big digital forensic data.Volume 1,Data reduction framework and selective imaging
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Next-generation big dataa practical guide to Apache Kudu, Impala, and Spark /
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Practical enterprise data lake insightshandle data-driven challenges in an enterprise big data lake /
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Data science thinkingthe next scientific, technological and economic revolution /
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Data science and predictive analyticsbiomedical and health applications using R /
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Large group decision makingcreating decision support approaches at scale /
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Big data for remote sensingvisualization, analysis and interpretation : digital Earth and smart Earth /
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Learning from data streams in evolving environmentsmethods and applications /
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Computational intelligence and big data analyticsapplications in bioinformatics /
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An introduction to dataeverything you need to know about AI, big data and data science /
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AI in marketing, sales and servicehow marketers without a data science degree can use AI, big data and bots /
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Clustering methods for big data analyticstechniques, toolboxes and applications /
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Big data and innovation in tourism, travel, and hospitalitymanagerial approaches, techniques, and applications /
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Big data, big challengesa healthcare perspective : background, issues, solutions and research directions /
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High-performance modelling and simulation for big data applicationsselected results of the COST Action IC1406 cHiPSet /
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Data-intensive systemsprinciples and fundamentals using Hadoop and Spark /
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Real-time & stream data managementpush-based data in research & practice /
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Cloud computing for geospatial big data analyticsintelligent edge, fog and mist computing /
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Artificial intelligence for fashionhow AI is revolutionizing the fashion industry /
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Understanding Azure data factoryoperationalizing big data and advanced analytics solutions /
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Adaptive resonance theory in social media data clusteringroles, methodologies, and applications /
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Computational intelligence for multimedia big data on the cloud with engineering applications /
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Big data science and analytics for smart sustainable urbanismunprecedented paradigmatic shifts and practical advancements /
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Dynamics on and of complex networks IIImachine learning and statistical physics approaches /
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Optimizing big data management and industrial systems with intelligent techniques
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Advanced methodologies and technologies in network architecture, mobile computing, and data analytics
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Big data and cloud computing for developmentlessons from key industries and economies in the global south /
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Principles and practice of big data :preparing, sharing, and analyzing complex information /
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Managing your data science projectslearn salesmanship, presentation, and maintenance of completed models /
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Scala programming for big data analyticsget started with big data analytics using Apache Spark /
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Multimodal analytics for next-generation big data technologies and applications
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SQL server big data clustersearly first edition based on release candidate 1 /
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Fusing big data, blockchain and cryptocurrencytheir individual and combined importance in the digital economy /
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Data visualization and statistical literacy for open and big data /
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Internet of things :what you need to know about IoT, big data, predictive analysis, artificial intelligence, machine learning, cybersecurity, business intelligence, augmented reality and our future /
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The decision maker's handbook to data sciencea guide for non-technical executives, managers, and founders /
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Computation and big data for transportdigital innovations in surface and air transport systems /
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Internet of things and big data applicationsrecent advances and challenges /
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Ambidextrous organizations in the big data erathe role of information systems /
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Data management and analysiscase studies in education, healthcare and beyond /
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Multimedia big data computing for IoT applicationsconcepts, paradigms and solutions /
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MARS applications in geotechnical engineering systemsmulti-dimension with big data /
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Agile approaches for successfully managing and executing projects in the fourth industrial revolution
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Deep learning techniques and optimization strategies in big data analytics
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Radical solutions and learning analyticspersonalised learning and teaching through big data /
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Illustrating statistical proceduresfinding meaning in quantitative data /
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Contemporary experimental design, multivariate analysis and data miningfestschrift in honour of Professor Kai-Tai Fang /
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Data analysis for direct numerical simulations of turbulent combustionfrom equation-based analysis to machine learning /
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SQL server big data clustersdata virtualization, data lake, and AI platform /
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Beginning Apache Spark using Azure databricksunleashing large cluster analytics in the cloud /
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Big data analytics for time-critical mobility forecastingfrom raw data to trajectory-oriented mobility analytics in the aviation and maritime domains /
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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management.Volume 1
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Big data strategies for agile businessframework, practices, and transformation roadmap /
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Big data and the computable societyalgorithms and people in the digital world /
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Integrated business information systemsa holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data /
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Big data approach to firm level innovation in manufacturingindustrial economics /
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Fog data analytics for IoT applicationsnext generation process model with state of the art technologies /
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Big data in emergency managementexploitation techniques for social and mobile data /
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Data lake analytics on Microsoft Azurea practitioner's guide to big data engineering /
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Advanced analytics in power BI with R and Pythoningesting, transforming, visualizing /
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Getting structured data from the Internetrunning web crawlers/Scrapers on a Big Data Production Scale /
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Practical Splunk search processing languagea guide for mastering SPL commands for maximum efficiency and outcome /
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SQL for data sciencedata cleaning, wrangling and analytics with relational databases /
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Precision :principles, practices and solutions for the internet of things /
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Advanced digital image processing and its applications in big data /
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New paradigm of industry 4.0Internet of things, big data & cyber physical systems /
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Global seismicity dynamics and data-driven scienceseismicity modelling by big data analytics /
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Bio-inspired algorithms for data streaming and visualization, big data management, and fog computing
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International Conference on Mobile Computing and Sustainable InformaticsICMCSI 2020 /
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Open data for sustainable communityglocalized sustainable development goals /
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Practical machine learning with AWSprocess, build, deploy, and productionize your models using AWS /
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Computational methods for deep learningtheoretic, practice and applications /
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Machine learning and big data analytics paradigmsanalysis, applications and challenges /
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Machine intelligence and big data analytics for cybersecurity applications
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Applied data science using Pysparklearn the end-to-end predictive model-building cycle /
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Artificial intelligence applications for smart societiesrecent advances /
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Deep learning and big data for intelligent transportationenabling technologies and future trends /
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Introducing .NET for Apache Sparkdistributed processing for massive datasets /
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Artificial intelligence for information managementa healthcare perspective /
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The big data-driven digital economyartificial and computational intelligence /
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Business intelligencea comprehensive approach to information needs, technologies and culture /
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Digital transformation and emerging technologies for fighting COVID-19 pandemicinnovative approaches /
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Emerging technologies for battling Covid-19applications and innovations /
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AI and machine learning paradigms for health monitoring systemintelligent data analytics /
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Big data analytics for cyber-physical systemsmachine learning for the Internet of Things /
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Systems simulation and modeling for cloud computing and big data applications
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Knowledge discovery in big data from astronomy and Earth observationastrogeoinformatics /
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Intelligent data analysis for biomedical applicationschallenges and solutions /
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The elements of big data valuefoundations of the research and innovation ecosystem /
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Applications of deep learning and big IoT on personalized healthcare services
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Handbook of research on engineering, business, and healthcare applications of data science and analytics
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Challenges and opportunities for the convergence of IoT, big data, and cloud computing
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Open source software for statistical analysis of big dataemerging research and opportunities /
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Advanced analytics with Transact-SQLexploring hidden patterns and rules in your data /
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Big data analytics methodsanalytics techniques in data mining, deep learning and natural language processing /
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Information for efficient decision makingbig data, blockchain and relevance /
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Computational learning approaches to data analytics in biomedical applications
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Ocean energy modeling and simulation with big datacomputational intelligence for system optimization and grid integration /
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Big data platforms and applicationscase studies, methods, techniques, and performance evaluation /
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Empowering human dynamics research with social media and geospatial data analytics
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Big data analytics in cognitive social media and literary textstheory and praxis /
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New maritime businessuncertainty, sustainability, technology and big data /
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Beginning Apache Spark 3with DataFrame, Spark SQL, structured streaming, and spark machine learning library /
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Data science in theory and practice :techniques for big data analytics and complex data sets /
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Sublinear computation paradigmalgorithmic revolution in the big data era /
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Deep learning in data analyticsrecent techniques, practices and applications /
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Research methodologies and ethical challenges in digital migration studiescaring for (big) data? /
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Logic-driven traffic big data analyticsmethodology and applications for planning /
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Building an effective data science practicea framework to bootstrap and manage a successful data science practice /
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Big data and artificial intelligence in digital financeincreasing personalization and trust in digital finance using big data and AI /
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New trends and applications in internet of things (IoT) and big data analytics
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The rise of artificial intelligence and big data in pandemic societycrises, risk and sacrifice in a new world order /
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Demystifying big data, machine learning, and deep learning for healthcare analytics
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Implementing data analytics and architectures for next generation wireless communications
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Research anthology on big data analytics, architectures, and applications
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Data mining approaches for big data and sentiment analysis in social media
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Radiomics and its clinical applicationartificial intelligence and medical big data /
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Decision analytics for sustainable development in smart society 5.0issues, challenges and opportunities /
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Future of organizations and work after the 4th Industrial Revolutionthe role of artificial intelligence, big data, automation, and robotics /
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Designing big data platformshow to use, deploy, and maintain big data systems /
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The new civilization upon datahow big data reshapes human civilization, business and the personal world /
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Building the snowflake data cloudmonetizing and democratizing your data /
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Traditional Chinese medicine and diseasesan omics big-data mining perspective /
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Big data in financeopportunities and challenges of financial digitalization /
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Big data, algorithms and food safetya legal and ethical approach to data ownership and data governance /
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What people leave behindmarks, traces, footprints and their relevance to knowledge society /
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Tools for activating data marketplacetoward innovations with data-mediated communications /
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Artificial intelligence, big data and data science in statisticschallenges and solutions in environmetrics, the natural sciences and technology /
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Data science and predictive analyticsbiomedical and health applications using R /
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Make your data speakcreating actionable data through Excel for non-technical professionals /
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It's all analytics.Part II,Designing an integrated AI, analytics, and data science architecture for your organization
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Advances in clinical immunology, medical microbiology, COVID-19, and Big data
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Data science for entrepreneurshipprinciples and methods for data engineering, analytics, entrepreneurship, and the society /
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Educational data science: essentials, approaches, and tendenciesproactive education based on empirical big data evidence /
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Data fabric and data mesh approaches with AIa guide to AI-based data cataloging, governance, integration, orchestration, and consumption /
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Big data analytics for improved accuracy, efficiency, and decision making in digital marketing
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Convergence of big data technologies and computational intelligent techniques
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Handbook of research on artificial intelligence applications in literary works and social media
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Big data-driven intelligent fault diagnosis and prognosis for mechanical systems
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Introduction to dataficationimplement datafication using AI and ML algorithms /
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IoT, big data and AI for improving quality of everyday lifepresent and future challenges : IOT, data science and artificial intelligence technologies /
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Modern artificial intelligence and data sciencetools, techniques and systems /
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Predictive analytics using statistics and big dataconcepts and modeling /
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Data sciencetime complexity, inferential uncertainty, and spacekime analytics /
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Knowledge modelling and big data analytics in healthcareadvances and applications /
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Data science in theory and practicetechniques for big data analytics and complex data sets /
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Computational methods for deep learningtheory, algorithms, and implementations /
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Data analytics and computational intelligencenovel models, algorithms and applications /
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Towards the integration of IoT, cloud and big dataservices, applications and standards /
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Kafka troubleshooting in productionstabilizing Kafka clusters in the cloud and on-premises /
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Data analytics for smart grids applications--a key to smart city development
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The decision maker's handbook to data scienceAI and data science for non-technical executives, managers, and founders /
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Big data, artificial intelligence, and data analytics in climate change researchfor sustainable development goals /
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Business analytical capabilities and artificial intelligence-enabled analyticsapplications and challenges in the digital era.Volume 1 /
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Evaluation platform of sustainability for global systemsstatistical approach to geospatial information for big data integration /
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Tuning the snowflake data cloudoptimizing your data platform to minimize cost and maximize performance /
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Hypothesis generation and interpretationdesign principles and patterns for big data applications /
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Architecting a modern data warehouse for large enterprisesbuild multi-cloud modern distributed data warehouses with Azure and AWS /
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Smart big data in digital agriculture applicationsacquisition, advanced analytics, and plant physiology-informed artificial intelligence /
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Machine learning, deep learning, big data, and internet of things for healthcare
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Big data analytics and machine intelligence in biomedical and health informaticsconcepts, methodologies, tools and applications /
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Scalable AI and design patternsdesign, develop, and deploy scalable AI solutions /
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Making sense of large social media corporakeywords, topics, sentiment, and hashtags in the Coronavirus Twitter corpus /
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Security framework and defense mechanisms for IoT reactive jamming attacks
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Business analytical capabilities and artificial intelligence-enabled analyticsapplications and challenges in the digital era.Volume 2 /
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Artificial intelligence, big data, IOT and block chain in healthcarefrom concepts to applications.Volume 1 /
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Artificial intelligence, big data, IOT and block chain in healthcarefrom concepts to applications.Volume 2 /
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Big Earth Data in support of the Sustainable Development Goals (2022) - China
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