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Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
| Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (377 pages) |
| Disciplina | 006.31 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Computer science - Mathematics
Probabilities Machine learning Information visualization Mathematical Applications in Computer Science Probability Theory Machine Learning Data and Information Visualization |
| ISBN | 3-031-51163-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mood-Based Music Recommendation System (Sravanthi) -- Internet Employment Detection Scam Via Fake Jobs With Random Forest Classifier (Madhavi) -- Sentiment Analysis and Age Factor Influences on Brand usage of Personal Care Products: A Study with Reference to Visakhapatnam City, in India (Tuduku) -- Construction of Pythagorean and Reciprocal Pythagorean n-tuples (Srinivas) -- Statistical Approaches for Forecasting Air pollution: A review (Rao) -- Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems (R Neeraja) -- A Study on Benefits of Continuous Integration and Continuous Delivery in Software Engineering (Reddy) -- A Review on Mango Fruit Disease Detection and pesticide Suggestion (Reddy) -- Multikeyword Ranked Search With Privacy Protection Over Encrypted Cloud Data (Saranya) -- BERT based Similarity Measures Oriented Approach for Style Change Detection (Mohan) -- Computer Vision Based Malpractice Detection System (AnnanNaidu) -- The evolution of Influence maximization studies: A scientometric analysis (M Venunath) -- A Survey on Evolving Optimal Cryptographic Techniques in Cloud Computing Data Forensics (Pinnamaraju) -- DR-HIPI: Performance evaluation of retinal images for DR lesion segmentation using the HIPI architecture (Devi) -- Adaptability of Robotic Process Automation and Capabilities of Human Automation (Midde) -- A brief Review on Impact of Digital Trading on Conventional marketing Strategies after covid-19 effect on E-Commerce (Tuduku) -- Fall Support Assistant Application (Sivaramakrishnan) -- A Systematic VANET traffic congestion by eliminating recursion using Intervention Linear Minimum Spanning Tree (ILMST) for Traffic Management System (Sahu) -- Realtime Object Cloning in Augmented Reality using BASnet and Screenpoint Algorithms (Adimalla) -- Maximization Of Energy-Efficiency For Optimal Spectral Efficiency In Massive Mimo System (Borugadda) -- OptimizationOf Spectral Efficiency Using Precoding Techniques In Multi Cell Massive Mimo (Borugadda) -- The effect of prerequisite engineering processes on the production of risk factors in software development (Akula) -- Comparison of Channel Equalization Schemes for MIMO-OFDM (Sujatha) -- QoS Enhancement through Link-Quality Prediction using Signal-To-Noise Ratio in MANET (Viswanath) -- Credential Manager using Cloud Computing (Shaik) -- Accident Detection, Alert and Tracking System Based on IoT (Sivaramakrishnan) -- Real time storage in cloud and access control policies using blockchain (Pranitha) -- Artificial Intelligence and Internet of Things Applications in Smart Grid Security: A survey (Inala) -- An Optimized Mechanism to Improve the Performance of Proxy Mobile Ipv6 Using Augmented Open-Flow Technique (Indumathi) -- A Secure way to Message based on Internet Protocol on RSA algorithm using DNA encoding with Laplace Transform Computing (Nagalakshmi) -- An Integrated Information Security Risk Assessment (IISRA) Approach (Dixit) -- Congestion Control and Avoidance Scheme using Mobile Nodes in Wireless Sensor Network (Suma).-. ATOMATIC IOT AND MACHINE LEARNING BASED TOLL COLLECTION SYSTEM FOR MOVING VEHICLES (Sridhar) -- Hack Investigation and Probing using BEOS (Sridevi). |
| Record Nr. | UNINA-9910857784003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Active Lighting and Its Application for Computer Vision : 40 Years of History of Active Lighting Techniques / / by Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki
| Active Lighting and Its Application for Computer Vision : 40 Years of History of Active Lighting Techniques / / by Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki |
| Autore | Ikeuchi Katsushi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 308 p. 251 illus., 167 illus. in color.) |
| Disciplina | 006.37 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Computer vision
Information visualization Control engineering Robotics Automation Machine learning Computer Vision Data and Information Visualization Control, Robotics, Automation Machine Learning |
| ISBN |
9783030565770
3030565777 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910863166803321 |
Ikeuchi Katsushi
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Audio Visualization Using ThMAD : Creating Amazing Graphics with Open Source Software / / by Peter Späth
| Advanced Audio Visualization Using ThMAD : Creating Amazing Graphics with Open Source Software / / by Peter Späth |
| Autore | Späth Peter |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 006.6869 |
| Soggetto topico |
Computer graphics
Information visualization Open source software Computer Graphics Data and Information Visualization Open Source |
| ISBN |
9781484235041
1484235045 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Program Operation -- Chapter 2: Insight in Meshes And Particle Systems -- Chapter 3: Timing -- Chapter 4: Shaders -- Chapter 5: Advanced Stories -- Chapter 6: Stories II -- Chapter 7: ThMAD and the Jack Sound Server -- Chapter 8: ThMAD and ALSA -- Chapter 9: Controlling ThMAD From Outside -- Chapter 10: Configuration. |
| Record Nr. | UNINA-9910300759503321 |
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Späth Peter
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Social sciences - Statistical methods
Statistics Consumer behavior Information visualization Sociology - Methodology Psychometrics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Theory and Methods Consumer Behavior Data and Information Visualization Sociological Methods |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNINA-9910484981703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Studies in Classification and Data Science / / edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi
| Advanced Studies in Classification and Data Science / / edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 524 p. 121 illus., 64 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Information visualization Sociology - Methodology Consumer behavior Applied Statistics Statistical Theory and Methods Data and Information Visualization Sociological Methods Consumer Behavior |
| ISBN |
9789811533112
9811533113 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment -- Chapter 2. Multi-citeria classifications in regional development modelling -- Chapter 3. Non-parametric latent modeling and network clustering -- Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification -- Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data -- Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center -- Chapter 7. Supervised Nested Algorithm for Classification based on K-means -- Chapter 8. Using Classification of Regions Based on the Complexity of the Global Progress Indices for Supporting Development in Competitiveness -- Chapter 9. Estimation Methods Based on Weighting Clusters -- Chapter 10. Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysis -- Chapter 11. From Joint Graphical Display to Bi-Modal Clustering: [2] Dual Space Versus Total Space -- Chapter 12. Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping -- Chapter 13. From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantication Theory -- Chapter 14. External Logistic Biplots for Mixed Types of Data -- Chapter 15. Functional clustering approach for analysis of concentration -- Chapter 16. Generalized additive models for the detection of copy number variations (CNVs) using multi gene panel sequencing data -- Chapter 17. Variable selection for classification of multivariate functional data -- Chapter 18. Initial value selection for the alternating least squares algorithm -- Chapter 19. Inference for General MANOVA Based on ANOVA-Type Statistic -- Chapter 20. How To Cross the River? - New ‘Distance’Measures -- Chapter 21. New Statistical Matching Method Using Multinomial Logistic Regression Model -- Chapter 22. Constructing graphical models for multi-source data: Sparse Network And Component analysis -- Chapter 23. Understanding Malvestuto’s normalized mutual information -- Chapter 24. Understanding the Rand index -- Chapter 25. Layered Multivariate Regression with Its Applications -- Chapter 26. An exploratory study on the clumpiness measure of intertransaction times: how is it useful for customer relationship management? -- Chapter 27. Data Quality Management of Chain Stores based on Outlier Detection -- Chapter 28. Analysis of expenditure pattens of virtual marriage households consisting of working couples synthesized by statistical matching method q -- Chapter 29. The Effects of Natural Disasters on Household Income and Poverty in Rural Vietnam: An Analysis Using the Vietnam Household Living Standards Survey -- Chapter 30. Generalizability of relationship between number of tweets about and sales of new beverage products -- Chapter 31. Cluster Distance-Based Regression -- Chapter 32. Bayesian network analysis of fashion behaviour -- Chapter 33. Determining the Similarity Index in Electoral Behavior Analysis: An Issue Voting Behavioral:Mapping -- Chapter 34. Well-Being Measures -- Chapter 35. The Relationship between Household Assets and Choice to Work: Evidence from Japanese Official Microdata -- Chapter 36. Visualization and Spatial Statistical Analysis for Vietnam Household Living Standard Survey -- Chapter 37. Changes in the Gendered Division of Labor and Women’s Economic Contributions within Japanese Couples -- Chapter 38. Employment structures vs. educational capital in the European Union regions -- Chapter 39. The IPUMS Approach to Harmonizing the World’s Population Census Data -- Chapter 40. A Supervised Multiclass Classifieras an Autocoding System for the Family Income and Expenditure Survey -- . |
| Record Nr. | UNINA-9910484518303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
| Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster |
| Autore | Özarslan Evren |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (X, 280 p. 109 illus., 91 illus. in color.) |
| Disciplina | 004 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Information visualization
Algebras, Linear Mathematics - Data processing Image processing - Digital techniques Computer vision Mathematical physics Data and Information Visualization Linear Algebra Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics |
| ISBN | 3-030-56215-8 |
| Classificazione | COM014000COM016000MAT002050MAT013000SCI040000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry. |
| Record Nr. | UNINA-9910473459203321 |
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Özarslan Evren
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Approaches for Science Illustration and Communication / / edited by Mark Roughley
| Approaches for Science Illustration and Communication / / edited by Mark Roughley |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (261 pages) |
| Disciplina | 929.605 |
| Collana | Biomedical Visualization |
| Soggetto topico |
Medicine - Research
Biology - Research Anatomy Information visualization Biophysics Biomedical Research Data and Information Visualization Bioanalysis and Bioimaging |
| ISBN | 3-031-41652-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. The Importance of Integrating the Visual Arts into the Medical Curriculum -- Chapter 2. Using Medical Illustration to Improve Understanding of Endometriosis -- Chapter 3. Editorial Medical and Scientific Illustration -- Chapter 4. Current Approaches in Narrative Medical Visualization -- Chapter 5. Animation for Science Communication: A Description of the Production Process and Contexts for Using Science Animation -- Chapter 6. Effect of the Rings: A Visual Story Design Comparing Three Chemical Characters -- Chapter 7. Diabetes Year One, Random Fluctuations and Mental Goblins: Auto-Ethnographic Pathographies and Medical Comics -- Chapter 8. Playing with Science: Games as a Medium of Science Communication -- Chapter 9. Increasing Microbiology Literacy about the Public Health Threat of Antimicrobial Resistance Through Art-Science Interactions -- Chapter 10. Collaged Creatures: Using Collage Art Practice and Posthuman Ethics to Discuss Bioengineering Hybrids. |
| Record Nr. | UNINA-9910767553003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Healthcare and Biomedical Visualization / / edited by Johann Malawana, Arian Arjomandi Rad, Robert Vardanyan, George Miller
| Artificial Intelligence in Healthcare and Biomedical Visualization / / edited by Johann Malawana, Arian Arjomandi Rad, Robert Vardanyan, George Miller |
| Autore | Malawana Johann |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 610.72 |
| Altri autori (Persone) | Malawana |
| Collana | Biomedical Visualization |
| Soggetto topico |
Medicine - Research
Biology - Research Artificial intelligence Machine learning Information visualization Biomedical Research Artificial Intelligence Machine Learning Data and Information Visualization |
| ISBN | 3-032-06520-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. The Anatomy of Medical Data -- Chapter 2. Machine Learning Algorithms for Medical Imaging -- Chapter 3. Virtual Reality in Medical Training -- Chapter 4. Artificial Intelligence in Diagnosis -- Chapter 5. Ethical Considerations in AI-Enabled Healthcare -- Chapter 6. The Role of Artificial Intelligence in Medical Education -- Chapter 7. AI in Surgical Simulation Training -- Chapter 8. Interstellar Informatics: Visualizing Space Medicine through Artificial Intelligence -- Chapter 9. AI in Healthcare in Low and Middle Income Countries -- Chapter 10. The Role of Artificial Intelligence in Workforce Adaptation and Skill Development. |
| Record Nr. | UNINA-9911049221303321 |
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Malawana Johann
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Audio Visualization Using ThMAD : Realtime Graphics Rendering for Ubuntu Linux / / by Peter Späth
| Audio Visualization Using ThMAD : Realtime Graphics Rendering for Ubuntu Linux / / by Peter Späth |
| Autore | Späth Peter |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
| Descrizione fisica | 1 online resource (XIX, 349 p. 158 illus. in color.) |
| Disciplina | 006.6 |
| Soggetto topico |
Computer graphics
Information visualization Open source software Computer Graphics Data and Information Visualization Open Source |
| ISBN | 1-4842-3168-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Sound Input -- Chapter 2: Visualization Basics -- Chapter 3: VProgram Operation -- Chapter 4: 3D Concepts -- Chapter 5: Stories-Basic Level -- Chapter 6: Stories-Advanced Level -- Chapter 7: ThMAD GUI Reference -- Chapter 8: ThMAD Module Reference. |
| Record Nr. | UNINA-9910254564303321 |
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Späth Peter
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data and Visual Analytics / / edited by Sang C. Suh, Thomas Anthony
| Big Data and Visual Analytics / / edited by Sang C. Suh, Thomas Anthony |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 263 p. 27 illus., 10 illus. in color.) |
| Disciplina | 005.7 |
| Soggetto topico |
Computer networks
Artificial intelligence Information visualization Computer Communication Networks Artificial Intelligence Data and Information Visualization |
| ISBN | 3-319-63917-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information visualization -- Data analytics -- Visual analytics -- Intelligent information systems -- Business analytics,- Virtual data machine -- Big data architecture -- Security of big data -- Big data applications -- Tensor-based computation and modeling -- High performance computing cluster -- Big data technologies. |
| Record Nr. | UNINA-9910255454203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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