Big Data Infrastructure Technologies for Data Analytics : Scaling Data Science Applications for Continuous Growth / / by Yuri Demchenko, Juan J. Cuadrado-Gallego, Oleg Chertov, Marharyta Aleksandrova |
Autore | Demchenko Yuri |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (553 pages) |
Disciplina | 005.7 |
Altri autori (Persone) |
Cuadrado-GallegoJuan J
ChertovOleg AleksandrovaMarharyta |
Soggetto topico |
Artificial intelligence - Data processing
Quantitative research Software engineering Artificial intelligence Application software Data Science Data Analysis and Big Data Software Engineering Artificial Intelligence Computer and Information Systems Applications |
ISBN | 3-031-69366-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1 Introduction. - Chapter 2 Big Data Technologies Foundation: Definition, Reference Architecture, use cases. - Chapter 3 Cloud Computing Foundation: Definition, Reference Architecture, Foundational Technologies, Use cases. - Chapter 4 Cloud and Big Data Service Providers and Platforms. - Chapter 5 Big Data Algorithms, MapReduce and Hadoop ecosystem -- Chapter 6 Streaming Analytics and Spark -- Chapter 7 Data Structures for Big Data, Modern Big Data SQL and NoSQL Databases.-Chapter 8 Enterprise Data Governance and Management -- Chapter 9 Research Data Management -- Chapter 10 Big Data Security and Compliance, Data Privacy Protection -- Chapter 11 Finding Data on the Web, Data sets, Web Scraping, Web API -- Chapter 12 Data Science Projects Management,DataOps, MLOPs -- Chapter13 Data Science Projects Development with Amazon SageMaker -- Chapter 14 Data Validation for Data Science Projects. |
Record Nr. | UNINA-9910899895203321 |
Demchenko Yuri | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent Developments in Data Science and Intelligent Analysis of Information : Proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information, June 4–7, 2018, Kyiv, Ukraine / / edited by Oleg Chertov, Tymofiy Mylovanov, Yuriy Kondratenko, Janusz Kacprzyk, Vladik Kreinovich, Vadim Stefanuk |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (391 pages) |
Disciplina | 005.74 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
ISBN | 3-319-97885-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: Machine Learning: Novel Methods and Applications -- Use of Symmetric Kernels for Convolutional Neural Networks -- Neural Network User Authentication by Geometry of the Auricle -- Race from Pixels: Evolving Neural Network Controller for Vision-Based Car Driving -- Application of Neuro-Controller Models for Adaptive Control -- Forecasting of Forest Fires in Portugal Using Parallel Calculations and Machine Learning -- A New Non-Euclidean Proximal Method for Equilibrium Problems -- Part II: Data Analysis Using Fuzzy Mathematics, Soft Computing, Computing With Words -- Perceptual Computing Based Method for Assessing Functional State of Aviation Enterprise Employees -- Multi-Criteria Decision Making and Soft Computing for the Selection of Specialized IoT Platform -- How Intelligence Community Interprets Imprecise Evaluative Linguistic Expressions, and How to Justify This Empirical-Based Interpretation -- How to Explain Empirical Distribution of Software Defects by Severity -- Part III: Applications of Data Science to Economics. Applied Data Science Systems -- Tobacco Spending in Georgia: Machine Learning Approach -- Explaining Wages in Ukraine: Experience or Education? -- On the Nash Equilibrium in Stochastic Games of Capital Accumulation on a Graph -- Indoor and Outdoor Air Quality Monitoring on the Base of Intelligent Sensors for Smart City -- Assessment of Sustainable Development Goals Achieving With Use of NEXUS Approach in the Framework of GEOEssential ERA-PLANET Project -- An Efficient Remote Disaster Management Technique Using IoT for Expeditious Medical Supplies to Affected Area: An Architectural Study and Implementation -- Part IV: Knowledge Engineering Methods. Ontology Engineering. Intelligent Educational Systems -- Method of Activity of Ontology-Based Intelligent Agent for Evaluating Initial Stages of the Software Lifecycle -- Ontological Representation of Legal Information and an Idea of Crowdsourcing for Its Filling -- Methods for Automated Generation of Scripts Hierarchies from Examples and Diagnosis of Behavior -- Development of the Mathematical Model of the Informational Resource of a Distance Learning System -- Use of Information Technologies to Improve Access to Information in E-Learning Systems -- Multi-Agent Approach Towards Creating an Adaptive Learning Environment -- Part V: Intelligent Search and Information Analysis in Local and Global Networks -- Usage of Decision Support Systems in Information Operations Recognition -- How Click-Fraud Shapes Traffic: A Case Study -- The Model of Words Cumulative Influence in a Text -- Mathematical and Computer Models of Message Distribution in Social Networks Based on the Space Modifcation of Fermi-Pasta-Ulam Approach -- Social Network Structure as a Predictor of Social Behavior: The Case of Protest in the 2016 US Presidential Election -- Internet Data Analysis to Evaluate the Optimal Placement of New Facilities -- Part VI: Novel Theoretical and Practical Applications of Data Science -- Algebra of Clusterizable Relations -- Constructive Proofs of Heterogeneous Equalities in Cubical Type Theory -- Improved Method of Determining the Alternative Set of Numbers in Residue Number System -- Method of an Optimal Nonlinear Extrapolation of a Noisy Random Sequence on the Basis of the Apparatus of Canonical Expansions -- Regularization of Hidden Markov Models Embedded into Reproducing Kernel Hilbert Space -- Application of Probabilistic-Algebraic Simulation for Processing and Analysis of Large Amounts of Data -- Multiblock ADMM with Nesterov Acceleration -- Input Information in the Approximate Calculation of Two-Dimensional Integral from Highly Oscillating Functions (Irregular Case) -- A New Approach to Data Compression. |
Record Nr. | UNINA-9910484851503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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