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Biblioteca

MARC Lista (tabellare)
Advanced Computing Technologies and Applications : Proceedings of 2nd International Conference on Advanced Computing Technologies and Applications—ICACTA 2020 / / edited by Hari Vasudevan, Antonis Michalas, Narendra Shekokar, Meera Narvekar
Advanced Computing Technologies and Applications : Proceedings of 2nd International Conference on Advanced Computing Technologies and Applications—ICACTA 2020 / / edited by Hari Vasudevan, Antonis Michalas, Narendra Shekokar, Meera Narvekar
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 701 p. 336 illus., 240 illus. in color.)
Disciplina 004
Collana Algorithms for Intelligent Systems
Soggetto topico Engineering mathematics
Engineering - Data processing
Mathematical statistics - Data processing
Computer science - Mathematics
Robotics
Mathematical and Computational Engineering Applications
Statistics and Computing
Mathematics of Computing
ISBN 981-15-3242-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Career counselling chatbot using cognitive science and artificial intelligence -- IndoorNet: Generating Indoor Layouts from a Single Panorama Image -- Area Analysis for Dengue Prediction -- Chest pathology detection using medical imaging -- Proposed Infrastructure for Census Enumeration and Internet Voting Application in Digital India with Multichain Blockchain -- Deep Learning Challenges in Medical Imaging -- A Brief Survey of Sentiment Analysis -- Efficacy Analysis of Technology Approaches towards Auto Assignment of Clinical Codes to the US Patient Medical Record -- Reference Model Storage Covert channel for Secure Communications -- Automated Scoring System for Online Discussion Forum using Machine Learning and Similarity Measure -- Blockchain Powered Real Estate System -- A Novel Design for Voice-Enabled Home Automation and Personalized Recommendation System.
Record Nr. UNINA-9910403766903321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced R : Data Programming and the Cloud / / by Matt Wiley, Joshua F. Wiley
Advanced R : Data Programming and the Cloud / / by Matt Wiley, Joshua F. Wiley
Autore Wiley Matt
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016
Descrizione fisica 1 online resource (XIX, 279 p. 77 illus., 40 illus. in color.)
Disciplina 005.13
Soggetto topico Compilers (Computer programs)
Computer science - Mathematics
Mathematical statistics
Mathematical statistics - Data processing
Computer programming
Compilers and Interpreters
Probability and Statistics in Computer Science
Statistics and Computing
Programming Techniques
ISBN 9781484220771
1484220773
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.Programming Basics -- 2.Programming Utilities -- 3.Loops, flow control, and *apply functions -- 4.Writing Functions -- 5.Writing Classes and Methods -- 6.Writing a Package -- 7.Data Management using data.table -- 8.Data Munging With data.table -- 9.Other Tools for Data Management -- 10.Reading Big Data(bases) -- 11.Getting a Cloud -- 12.Ubuntu for Windows Users -- 13.Every Cloud has a Shiny lining -- 14.Shiny Dashboard Sampler -- 15.Dynamic Reports and the Cloud -- References.
Record Nr. UNINA-9910151576903321
Wiley Matt  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced R 4 Data Programming and the Cloud : Using PostgreSQL, AWS, and Shiny / / by Matt Wiley, Joshua F. Wiley
Advanced R 4 Data Programming and the Cloud : Using PostgreSQL, AWS, and Shiny / / by Matt Wiley, Joshua F. Wiley
Autore Wiley Matt
Edizione [2nd ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Descrizione fisica 1 online resource (XIII, 433 p. 65 illus., 9 illus. in color.)
Disciplina 005.133
Soggetto topico Compilers (Computer programs)
Computer science - Mathematics
Mathematical statistics
Mathematical statistics - Data processing
Computer programming
Compilers and Interpreters
Probability and Statistics in Computer Science
Statistics and Computing
Programming Techniques
ISBN 9781484259733
1484259734
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Programming Basics -- 2. Programming Utilities -- 3. Programming Automation -- 4. Writing Functions -- 5. Writing Classes and Methods -- 6. Writing Packages -- 7. Introduction to data.table -- 8. Advanced data.table -- 9. Other Data Management Packages -- 10. Reading Big Data -- 11. Getting Your Cloud -- 12. Cloud Ubuntu for Windows Users -- 13. Every Cloud has a Shiny lining -- 14. Shiny Dashboard Sampler -- 15. Dynamic Reports and the Cloud -- Bibliography.
Record Nr. UNINA-9910411930303321
Wiley Matt  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Sampling Methods / / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Advanced Sampling Methods / / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Autore Latpate Raosaheb
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVII, 301 p. 23 illus., 13 illus. in color.)
Disciplina 519.52
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Bayesian Inference
Statistics and Computing
ISBN 9789811606229
9811606226
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -1. Introduction -- 2. Simple Random Sampling -- 3. Stratied Random Sampling -- 4. Cluster Sampling -- 5. Double Sampling -- 6. Probability Proportional to Size Sampling -- 7. Systematic Sampling -- 8. Resampling Techniques -- 9. Adaptive Cluster Sampling -- 10. Two-Stage Adaptive Cluster Sampling -- 11. Adaptive Cluster Double Sampling -- 12. Inverse Adaptive Cluster Sampling -- 13. Two Stage Inverse Adaptive Cluster Sampling -- 14. Stratified Inverse Adaptive Cluster Sampling -- 15. Negative Adaptive Cluster Sampling -- 16. Negative Adaptive Cluster Double Sampling -- 17. Two- Stage Negative Adaptive Cluster Sampling -- 18. Balanced and Unbalanced Ranked Set Sampling -- 19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference -- 20. Important Versions of Ranked Set Sampling -- 21. Sampling Errors.
Record Nr. UNINA-9910484590903321
Latpate Raosaheb  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIX, 256 p. 12 illus., 6 illus. in color.)
Disciplina 519.5
Collana Lecture Notes in Statistics - Proceedings
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Statistics and Computing
ISBN 3-319-31260-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910254077003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Statistical Models for Data Analysis / / edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi
Advances in Statistical Models for Data Analysis / / edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (264 p.)
Disciplina 519.5
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Statistics
Mathematical statistics - Data processing
Social sciences - Statistical methods
Statistical Theory and Methods
Statistics and Computing
Statistics in Business, Management, Economics, Finance, Insurance
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
ISBN 3-319-17377-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Using the dglars Package to Estimate a Sparse Generalized Linear Model -- A Depth function for Geostatistical Functional Data -- Robust Clustering of EU Banking Data -- Sovereign Risk and Contagion Effects in the Eurozone: a Bayesian Stochastic Correlation Model -- Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries -- Asymptotics in Survey Sampling for High Entropy Sampling Design -- A Note On the Use of Recursive Partitioning in Causal Inference -- Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach -- Families of Parsimonious Finite Mixtures of Regression Models -- Quantile Regression for Clustering and Modeling Data -- Non-metric MDS Consensus Community Detection -- The performance of the Gradient-like Influence Measure in Generalized Linear Mixed Models -- New Flexible Probability Distributions for Ranking Data -- Robust Estimation of Regime Switching Models -- Incremental Visualization of Categorical Data -- A new Proposal for Tree Model Selection and Visualization -- Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys -- Comparing Fuzzy and Multidimensional Methods to Evaluate Well-being in European Regions -- Cluster Analysis of Three-way Atmospheric Data -- Asymmetric CLUster Analysis Based on SKEW-symmetry: ACLUSKEW -- Parsimonious Generalized Linear Gaussian Cluster-Weighted Models -- New perspectives for the MDC Index in Social Research Fields -- Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches -- Novelty Detection with One-class Support Vector Machines -- Using Discrete-time  Multi-State Models to Analyze  Students' University Pathways.
Record Nr. UNINA-9910300242403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algorithmic Decision Making with Python Resources : From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs / / by Raymond Bisdorff
Algorithmic Decision Making with Python Resources : From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs / / by Raymond Bisdorff
Autore Bisdorff Raymond
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (366 pages)
Disciplina 005.133
658.4033
Collana International Series in Operations Research & Management Science
Soggetto topico Operations research
Graph theory
Computer science - Mathematics
Mathematical statistics - Data processing
Operations Research and Decision Theory
Graph Theory
Mathematical Applications in Computer Science
Statistics and Computing
ISBN 9783030909284
9783030909277
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Introduction to the DIGRAPH3 Python Resources -- 1. Working with the DIGRAPH3 Python Resources -- 2. Working with Bipolar-Valued Digraphs -- 3. Working with Outranking Digraphs -- Part II: Evaluation Models and Decision Algorithms -- 4. Building a Best Choice Recommendation -- 5. How to Create a New Multiple-Criteria Performance Tableau -- 6. Generating Random Performance Tableaux -- 7. Who Wins the Election? -- 8. Ranking with Multiple Incommensurable Criteria -- 9. Rating by Sorting into Relative Performance Quantiles -- 10. Rating-by-Ranking with Learned Performance Quantile Norms -- 11. HPC Ranking of Big Performance Tableaux -- Part III: Evaluation and Decision Case Studies -- 12. Alice’s Best Choice: A Selection Case Study -- 13. The Best Academic Computer Science Depts: A Ranking Case Study -- 14. The Best Students, Where Do They Study? A Rating Case Study -- 15. Exercises -- Part IV: Advanced Topics -- 16. On Measuring the Fitness of a Multiple-Criteria Ranking -- 17. On Computing Digraph Kernels -- 18. On Confident Outrankings with Uncertain Criteria Significance Weights -- 19. Robustness Analysis of Outranking Digraphs -- 20. Tempering Plurality Tyranny Effects in Social Choice -- Part V: Working with Undirected Graphs -- 21. Bipolar-Valued Undirected Graphs -- 22. On Tree Graphs and Graph Forests -- 23. About Split, Comparability, Interval, and Permutation Graphs.
Record Nr. UNINA-9910558496703321
Bisdorff Raymond  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Algorithms from and for Nature and Life : Classification and Data Analysis / / edited by Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
Algorithms from and for Nature and Life : Classification and Data Analysis / / edited by Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (532 p.)
Disciplina 006.31
Altri autori (Persone) LausenBerthold
PoelDirk Van den
UltschAlfred
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Mathematical statistics - Data processing
Social sciences - Data processing
Operations research
Management science
Data mining
Statistics
Statistics and Computing
Computer Application in Social and Behavioral Sciences
Operations Research and Decision Theory
Operations Research, Management Science
Data Mining and Knowledge Discovery
Statistics in Business, Management, Economics, Finance, Insurance
ISBN 3-319-00035-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited -- Clustering and Unsupervised Learning -- Statistical Data Analysis, Visualization and Scaling -- Bioinformatics and Biostatistics -- Archaeology and Geography, Psychology and Educational Sciences -- Text Mining, Social Networks and Clustering -- Banking and Finance -- Marketing and Management -- Music Classification Workshop.
Record Nr. UNINA-9910438031003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis and Modeling of Complex Data in Behavioral and Social Sciences / / edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
Analysis and Modeling of Complex Data in Behavioral and Social Sciences / / edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (297 p.)
Disciplina 519.5
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Statistics
Mathematical statistics - Data processing
Sociology - Methodology
Social sciences - Statistical methods
Statistical Theory and Methods
Statistics and Computing
Sociological Methods
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
ISBN 3-319-06692-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Time-frequency Filtering for Seismic Waves Clustering -- Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement -- Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919) -- Estimating a Rasch Model via Fuzzy Empirical Probability Functions -- Scale Reliability Evaluation for a-priori Clustered Data -- An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project -- A New Index for the Comparison of Different Measurement Scales -- Asymmetries in Organizational Structures -- A Generalized Additive Model for Binary Rare Events Data: an Application to Credit Defaults -- The Meaning of forma in Thomas Aquinas. Hierarchical Clustering from the Index Thomisticus Treebank -- The Estimation of the Parameters in Multi-Criteria Classification Problem: the Case of the Electre Tri Method -- Dynamic Clustering of Financial Assets -- A Comparison of  metrics for the Assessment of Relational Similarities in Affiliation Networks -- Influence Diagnostics for Meta-Analysis of Individual Patient Data using Generalized Linear Mixed Models -- Social Networks as Symbolic Data -- Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis -- Fuzzy c-means for Web Mining: The Italian Tourist Forum Case -- On Joint Dimension Reduction and Clustering of Categorical Data -- A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web -- Dynamic Customer Satisfaction and Measure of Trajectories: a Banking Case -- The Analysis of Partnership Networks in Social Planning Processes -- Evaluating theEffect of New Brand by Asymmetric Multidimensional Scaling -- Statistical Characterization of the Virtual Water Trade Network -- A Pre-Specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks -- The RCI as a Measure of Monotonic Dependence -- A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data -- Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison -- Changes in Japanese EFL Learners' Proficiency: An Application of Latent Rank Theory -- Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets -- A Box-plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis -- Assessing Cooperation in Open Systems: an Empirical Test in Healthcare.
Record Nr. UNINA-9910299981703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis of Doubly Truncated Data : An Introduction / / by Achim Dörre, Takeshi Emura
Analysis of Doubly Truncated Data : An Introduction / / by Achim Dörre, Takeshi Emura
Autore Dörre Achim
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVI, 109 p. 38 illus., 10 illus. in color.)
Disciplina 519.5
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Biometry
Mathematical statistics - Data processing
Statistical Theory and Methods
Applied Statistics
Biostatistics
Statistics and Computing
ISBN 981-13-6241-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to double-truncation -- Chapter 2: Parametric inference under special exponential family -- Chapter 3: Parametric inference under location-scale family -- Chapter 4: Bayes inference -- Chapter 5: Nonparametric inference -- Chapter 6: Linear regression -- Appendix A: Data (if German company data are available) -- Appendix B: R codes for inference under exponential family -- Appendix C: R codes for inference under location-scale family -- Appendix D: R codes for Bayes inference -- Appendix E: R codes for linear regression.
Record Nr. UNINA-9910350247703321
Dörre Achim  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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