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Assessing and Improving Prediction and Classification [[electronic resource] ] : Theory and Algorithms in C++ / / by Timothy Masters
| Assessing and Improving Prediction and Classification [[electronic resource] ] : Theory and Algorithms in C++ / / by Timothy Masters |
| Autore | Masters Timothy |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (XX, 517 p. 26 illus., 8 illus. in color.) |
| Disciplina | 005.133 |
| Soggetto topico |
Big data
Artificial intelligence Mathematical statistics Statistics Big Data Artificial Intelligence Probability and Statistics in Computer Science Statistics, general |
| ISBN | 1-4842-3336-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Assessment of Numeric Predictions -- 2. Assessment of Class Predictions -- 3. Resampling for Assessing Parameter Estimates -- 4. Resampling for Assessing Prediction and Classification -- 5. Miscellaneous Resampling Techniques -- 6. Combining Numeric Predictions -- 7. Combining Classification Models -- 8. Gaiting Methods -- 9. Information and Entropy -- References. |
| Record Nr. | UNINA-9910300755503321 |
Masters Timothy
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Audit Analytics [[electronic resource] ] : Data Science for the Accounting Profession / / by J. Christopher Westland
| Audit Analytics [[electronic resource] ] : Data Science for the Accounting Profession / / by J. Christopher Westland |
| Autore | Westland J. Christopher |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (482 pages) |
| Disciplina | 657.450285 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Accounting Computer science - Mathematics Mathematical statistics Mathematical statistics - Data processing Statistics in Business, Management, Economics, Finance, Insurance Financial Accounting Probability and Statistics in Computer Science Statistics and Computing |
| ISBN | 3-031-47464-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Fundamentals of Auditing Financial Statements -- 2. Foundations of Audit Analytics -- 3. Analysis of Accounting Transactions -- 4. Risk Assessment and Planning -- 5. Analytical Review: Technical Analysis -- 6. Analytical Review: Intelligence Scanning -- 7. Design of Audit Programs -- 8. Interim Compliance Tests -- 9. Substantive Tests -- 10. Sarbanes-Oxley Engagements -- 11. Blockchains, Cybercrime and Forensics -- 12. Special Engagements: Forecasts and Valuation -- 13. Simulated Transactions for Auditing Service Organizations. |
| Record Nr. | UNINA-9910847597903321 |
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Westland J. Christopher
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Elements of Computational Statistics [[electronic resource] /] / by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
| Basic Elements of Computational Statistics [[electronic resource] /] / by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
| Autore | Härdle Wolfgang Karl |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXI, 305 p. 97 illus., 66 illus. in color.) |
| Disciplina | 519.50285 |
| Collana | Statistics and Computing |
| Soggetto topico |
Statistics
Mathematical statistics Biostatistics Statistics and Computing/Statistics Programs Statistical Theory and Methods Probability and Statistics in Computer Science Statistics for Business, Management, Economics, Finance, Insurance Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-319-55336-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Basics of R -- Numerical Techniques -- Combinatorics and Discrete Distributions -- Univariate Distributions -- Univariate Statistical Analysis -- Basic Nonparametric Methods -- Multivariate Distributions -- Multivariate Statistical Analysis -- Random Numbers in R -- Advanced Graphical Techniques in R -- Symbols and Notations. |
| Record Nr. | UNINA-9910254309603321 |
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Härdle Wolfgang Karl
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basics of Modern Mathematical Statistics [[electronic resource] /] / by Vladimir Spokoiny, Thorsten Dickhaus
| Basics of Modern Mathematical Statistics [[electronic resource] /] / by Vladimir Spokoiny, Thorsten Dickhaus |
| Autore | Spokoiny Vladimir |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 296 p. 1 illus.) |
| Disciplina | 519.5 |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Statistics
Mathematical statistics Statistical Theory and Methods Probability and Statistics in Computer Science |
| ISBN | 3-642-39909-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic notions -- Parameter Estimation for an i.i.d. Model -- Regression Estimation -- Estimation in Linear Models -- Bayes Estimation -- Testing a Statistical Hypothesis -- Testing in Linear Models -- Some other Testing Methods -- Deviation Probability for Quadratic Forms. |
| Record Nr. | UNINA-9910299781903321 |
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Spokoiny Vladimir
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basiswissen Statistik [[electronic resource] ] : Kompaktkurs für Anwender aus Wirtschaft, Informatik und Technik / / von Ansgar Steland
| Basiswissen Statistik [[electronic resource] ] : Kompaktkurs für Anwender aus Wirtschaft, Informatik und Technik / / von Ansgar Steland |
| Autore | Steland Ansgar |
| Edizione | [4th ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Spektrum, , 2016 |
| Descrizione fisica | 1 online resource (XX, 327 S. 31 Abb.) |
| Disciplina | 330.015195 |
| Collana | Springer-Lehrbuch |
| Soggetto topico |
Statistics
Economic theory Applied mathematics Engineering mathematics Mathematical statistics Statistics for Business, Management, Economics, Finance, Insurance Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Economic Theory/Quantitative Economics/Mathematical Methods Mathematical and Computational Engineering Probability and Statistics in Computer Science Statistical Theory and Methods |
| ISBN | 3-662-49948-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Deskriptive und explorative Statistik -- Wahrscheinlichkeitsrechnung -- Schließende Statistik -- A Mathematik-kompakt -- B Glossar -- C Tabellen. |
| Record Nr. | UNINA-9910483206503321 |
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Steland Ansgar
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Spektrum, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Methods in the Search for MH370 [[electronic resource] /] / by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
| Bayesian Methods in the Search for MH370 [[electronic resource] /] / by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams |
| Autore | Davey Sam |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVI, 114 p. 51 illus., 2 illus. in color.) |
| Disciplina | 621.382 |
| Collana | SpringerBriefs in Signal Processing |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Statistics Probabilities Mathematical statistics Signal, Image and Speech Processing Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability Theory and Stochastic Processes Probability and Statistics in Computer Science |
| ISBN | 981-10-0379-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions. |
| Record Nr. | UNINA-9910161652403321 |
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Davey Sam
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis [[electronic resource] /] / by Uffe B. Kjærulff, Anders L. Madsen
| Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis [[electronic resource] /] / by Uffe B. Kjærulff, Anders L. Madsen |
| Autore | Kjærulff Uffe B |
| Edizione | [2nd ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (387 p.) |
| Disciplina | 003.54 |
| Collana | Information Science and Statistics |
| Soggetto topico |
Statistics
Mathematical statistics Data mining Artificial intelligence Operations research Management science Probabilities Statistics and Computing/Statistics Programs Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Artificial Intelligence Operations Research, Management Science Probability Theory and Stochastic Processes |
| ISBN |
1-283-86506-8
1-4614-5104-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Networks -- Probabilities -- Probabilistic Networks -- Solving Probabilistic Networks -- Eliciting the Model -- Modeling Techniques -- Data-Driven Modeling -- Conflict Analysis -- Sensitivity Analysis -- Value of Information Analysis -- Quick Reference to Model Construction -- List of Examples -- List of Figures -- List of Tables -- List of Symbols -- References -- Index. |
| Record Nr. | UNINA-9910437602803321 |
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Kjærulff Uffe B
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
| Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (378 pages) |
| Disciplina | 385.0724 |
| Soggetto topico |
Database management
Mathematical statistics Transportation engineering Traffic engineering Database Management Probability and Statistics in Computer Science Transportation Technology and Traffic Engineering |
| ISBN | 3-030-45164-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains -- Mobility Data: A Perspective from the Maritime Domain -- The Perspective on Mobility Data from the Aviation Domain -- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories -- Visual Analytics in the Aviation and Maritime Domains -- Trajectory Detection and Summarization over Surveillance Data Streams -- Part III: Trajectory Oriented Data Management for Mobility Analytics -- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology -- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities -- Distributed Storage of Large Knowledge Graphs with Mobility Data -- Part IV: Analytics Towards Time Critical Mobility Forecasting -- Future Location and Trajectory Prediction -- Event Processing for Maritime Situational Awareness -- Offline Trajectory Analytics -- Part V Big Data Architectures for Time Critical Mobility Forecasting -- The δ Big Data Architecture for Mobility Analytics -- Part VI: Ethical Issues for Time Critical Mobility Analytics -- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting. |
| Record Nr. | UNINA-9910410034403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
| Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (378 pages) |
| Disciplina | 385.0724 |
| Soggetto topico |
Database management
Mathematical statistics Transportation engineering Traffic engineering Database Management Probability and Statistics in Computer Science Transportation Technology and Traffic Engineering |
| ISBN | 3-030-45164-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains -- Mobility Data: A Perspective from the Maritime Domain -- The Perspective on Mobility Data from the Aviation Domain -- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories -- Visual Analytics in the Aviation and Maritime Domains -- Trajectory Detection and Summarization over Surveillance Data Streams -- Part III: Trajectory Oriented Data Management for Mobility Analytics -- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology -- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities -- Distributed Storage of Large Knowledge Graphs with Mobility Data -- Part IV: Analytics Towards Time Critical Mobility Forecasting -- Future Location and Trajectory Prediction -- Event Processing for Maritime Situational Awareness -- Offline Trajectory Analytics -- Part V Big Data Architectures for Time Critical Mobility Forecasting -- The δ Big Data Architecture for Mobility Analytics -- Part VI: Ethical Issues for Time Critical Mobility Analytics -- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting. |
| Record Nr. | UNISA-996465364603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big-Data Analytics and Cloud Computing [[electronic resource] ] : Theory, Algorithms and Applications / / edited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
| Big-Data Analytics and Cloud Computing [[electronic resource] ] : Theory, Algorithms and Applications / / edited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (178 p.) |
| Disciplina | 004 |
| Soggetto topico |
Mathematical statistics
Computer communication systems Computer simulation Computer science—Mathematics Probability and Statistics in Computer Science Computer Communication Networks Simulation and Modeling Math Applications in Computer Science |
| ISBN | 3-319-25313-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Overview and Goals; Organisation and Features; Target Audiences; Suggested Uses; Acknowledgements; Contents; Contributors; Part I Theory; 1 Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs; 1.1 Introduction and Summary; 1.2 Background; 1.2.1 Data Quality in the Context of Big Data; 1.2.2 Cloud Computing; 1.2.3 Data Quality Monitoring in the Cloud; 1.2.4 The Challenge of Specifying a DQSLA; 1.2.5 The Infrastructure Estimation Problem; 1.3 Proposed Solutions; 1.3.1 Data Quality SLA Formalization; 1.3.2 Examples of Data Quality SLAs
1.3.3 Data Quality-Aware Service Architecture1.4 Future Research Directions; 1.5 Conclusions; References; 2 Role and Importance of Semantic Search in Big Data Governance; 2.1 Introduction; 2.2 Big Data: Promises and Challenges; 2.3 Participatory Design for Big Data; 2.4 Self-Service Discovery; 2.5 Conclusion; References; 3 Multimedia Big Data: Content Analysis and Retrieval; 3.1 Introduction; 3.2 The MapReduce Framework and Multimedia Big Data; 3.2.1 Indexing; 3.2.2 Caveats on Indexing; 3.2.3 Multiple Multimedia Processing; 3.2.4 Additional Work Required? 5 Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction5.1 Introduction; 5.2 Communication Platform on Twitter; 5.3 Communication for Data Collection on Twitter; 5.4 Event Detection and Analysis: Tweets Relating to Road Incidents; 5.4.1 Twitter Data: Incident Data Set; 5.5 Methodology; 5.5.1 Time Series and Temporal Analysis of Textual Twitter; 5.6 Proposed Refined Kalman Filter (KF) Model-Based System; 5.7 Conclusion; References; 6 Data Science and Big Data Analytics at Career Builder 6.1 Carotene: A Job Title Classification System6.1.1 Occupation Taxonomies; 6.1.2 The Architecture of Carotene; 6.1.2.1 Taxonomy Discovery Using Clustering; 6.1.2.2 Coarse-Level Classification: SOC Major Classifier; 6.1.2.3 Fine-Level Classification: Proximity-Based Classifier; 6.1.3 Experimental Results and Discussion; 6.2 CARBi: A Data Science Ecosystem; 6.2.1 Accessing CB Data and Services Using WebScalding; 6.2.2 ScriptDB: Managing Hadoop Jobs; References; 7 Extraction of Bayesian Networks from Large Unstructured Datasets; 7.1 Introduction; 7.2 Text Mining; 7.2.1 Text Mining Techniques 7.2.2 General Architecture and Various Components of Text Mining |
| Record Nr. | UNINA-9910298964403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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