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1857.10-2021 - IEEE Standard for Third-Generation Video Coding / / Institute of Electrical and Electronics Engineers
| 1857.10-2021 - IEEE Standard for Third-Generation Video Coding / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2022 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 001.42 |
| Soggetto topico | Quantitative research |
| ISBN | 1-5044-8140-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996574836403316 |
| [Place of publication not identified] : , : IEEE, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law / / by Daria Kim
| Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law / / by Daria Kim |
| Autore | Kim Daria |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (310 pages) |
| Disciplina | 342.240662 |
| Collana | Munich Studies on Innovation and Competition |
| Soggetto topico |
Information technology - Law and legislation
Mass media - Law and legislation Medical laws and legislation Law - Europe Clinical medicine - Research Quantitative research IT Law, Media Law, Intellectual Property Medical Law European Law Clinical Research Data Analysis and Big Data |
| ISBN | 3-030-86778-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART ONE: Setting the Scene -- Introduction -- The Context and the Problem in Focus -- Secondary Analysis of Clinical Trial Data - A Primer -- PART TWO: Analysis de lege lata,- Legal Sources of Control over and Access to Clinical Trial Data under the EU Applicable Framework -- Implications of IPD Disclosure for Statutory Innovation Incentives PART THREE: Analysis de lege ferenda -- Defining the Intervention Logic of Access-To-Data Measures - A Problem Analysis -- Access to Clinical Trial Data as a Case on R&D Externalities - A Theoretical Framework -- IPD as a Research Resource - Exclusively Controlled or Readily Accessible? -- Evaluating Legislative Options -- Final Conclusions and the Outlook. |
| Record Nr. | UNINA-9910506380003321 |
Kim Daria
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ACM/IMS transactions on data science
| ACM/IMS transactions on data science |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , [2020]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006 |
| Soggetto topico |
Data mining - Statistical methods
Big data - Statistical methods Quantitative research Données volumineuses - Méthodes statistiques Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
TDS
Transactions on data science ACM transactions on data sciencec |
| Record Nr. | UNINA-9910412143603321 |
| New York, NY : , : Association for Computing Machinery, , [2020]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ACM/IMS transactions on data science
| ACM/IMS transactions on data science |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , [2020]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006 |
| Soggetto topico |
Data mining - Statistical methods
Big data - Statistical methods Quantitative research Données volumineuses - Méthodes statistiques Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
TDS
Transactions on data science ACM transactions on data sciencec |
| Record Nr. | UNISA-996548964503316 |
| New York, NY : , : Association for Computing Machinery, , [2020]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Actionable Science of Global Environment Change [[electronic resource] ] : From Big Data to Practical Research / / edited by Ziheng Sun
| Actionable Science of Global Environment Change [[electronic resource] ] : From Big Data to Practical Research / / edited by Ziheng Sun |
| Autore | Sun Ziheng |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (390 pages) |
| Disciplina | 551.6 |
| Soggetto topico |
Climatology
Quantitative research Sampling (Statistics) Climate Sciences Data Analysis and Big Data Methodology of Data Collection and Processing |
| ISBN | 3-031-41758-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: What is “Actionable” Science for Climate and Environment -- Chapter 2: Data Foundation for Actionable Science -- Chapter 3: Technology Landscape for Making Climate and Environmental Science “Actionable” -- Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction -- Chapter 5: Actionable Science for Hurricanes -- Chapter 6: Actionable Science for Wildfire Response -- Chapter 7: Actionable Science for Sea Level Rising -- Chapter 8: Actionable Science for Irrigation -- Chapter 9: Actionable Science for Snow Monitoring and Response -- Chapter 10: Towards more actionable vulnerability indices for Global Environmental Change -- Chapter 11: Actionable Science in Environmental Health -- Chapter 12: Actionable AI for Climate and Environment -- Chapter 13: Actionable Environmental Science through Social Media Platforms -- Chapter 14: Ethics and Accountability of Science in Action. |
| Record Nr. | UNINA-9910760265803321 |
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Sun Ziheng
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing / / by Ryan Wade
| Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing / / by Ryan Wade |
| Autore | Wade Ryan |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (XLVI, 391 p. 84 illus.) |
| Disciplina | 001.4226028566 |
| Soggetto topico |
Microsoft software
Microsoft .NET Framework Quantitative research Big data Microsoft Data Analysis and Big Data Big Data |
| ISBN | 1-4842-5829-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Creating Custom Data Visualizations using R -- 1. The Grammar of Graphics -- 2. Creating R custom visuals in Power BI using ggplot2 -- Part II. Ingesting Data into the Power BI Data Model using R and Python -- 3. Reading CSV Files -- 4. Reading Excel Files -- 5. Reading SQL Server Data -- 6. Reading Data into the Power BI Data Model via an API -- Part III. Transforming Data using R and Python.-7. Advanced String Manipulation and Pattern Matching -- 8. Calculated Columns using R and Python -- Part IV. Machine Learning & AI in Power BI using R and Python -- 9. Applying Machine Learning and AI to your Power BI Data Models -- 10. Productionizing Data Science Models and Data Wrangling Scripts. . |
| Record Nr. | UNINA-9910427050203321 |
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Wade Ryan
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Mathematical Science for Mobility Society / / edited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita
| Advanced Mathematical Science for Mobility Society / / edited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (VIII, 215 p. 52 illus., 40 illus. in color.) |
| Disciplina | 004.0151 |
| Soggetto topico |
Computer science
Mathematical models Quantitative research Transportation engineering Traffic engineering Theory and Algorithms for Application Domains Mathematical Modeling and Industrial Mathematics Data Analysis and Big Data Transportation Technology and Traffic Engineering |
| ISBN | 981-9997-72-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Introduction, motivation, and direction for Advanced Mathematical Science for Mobility Society, together with the project between Toyota Motor Corporation and Kyoto University -- Chapter 1. Advanced Mathematical Science for Mobility Society -- Part 2. Mathematical models of flow Chapter. 2. Analysis of many-body particle systems by geometry and box-ball-system theory -- Chapter 3. Discrete Integrable Systems, LR transformations and Box-Ball Systems -- Part 3. Mathematical methods for huge data and network analysis -- Chapter 4. Eigenvalue Analysis in Mobility Data -- Chapter 5. Application of tensor network formalism for processing tensor data -- Chapter 6. Machine Learning Approach to Mobility Analysis -- Chapter 7. Graph optimization problems and algorithms for DAG-type blockchains -- Part 4. Algorithm for mobility society -- Chapter 8. Control and optimization of one-way car-sharing systems -- Chapter 9. Algorithms for future mobility society Chapter 10. Mechanism Design for Mobility. |
| Record Nr. | UNINA-9910845080703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
| Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Pawlowsky-GlahnVera |
| Soggetto topico |
Estadística matemàtica
Investigació quantitativa Mathematical statistics Quantitative research |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71175-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology. |
| Record Nr. | UNISA-996466397003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
| Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Pawlowsky-GlahnVera |
| Soggetto topico |
Estadística matemàtica
Investigació quantitativa Mathematical statistics Quantitative research |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71175-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology. |
| Record Nr. | UNINA-9910484712403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in data science : symbolic, complex, and network data / / edited by Edwin Diday, Rong Guan, Gilbert Saporta, Huiwen Wang
| Advances in data science : symbolic, complex, and network data / / edited by Edwin Diday, Rong Guan, Gilbert Saporta, Huiwen Wang |
| Autore | Diday Edwin |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (253 pages) |
| Disciplina | 006.312 |
| Collana | Big data, artificial intelligence and data analysis set |
| Soggetto topico |
Data mining
Quantitative research |
| ISBN |
1-119-69510-4
1-119-69511-2 1-119-69496-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910554802503321 |
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Diday Edwin
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| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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