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Advances in chance discovery : extended selection from international workshops / / Yukio Ohsawa and Akinori Abe (eds.)
| Advances in chance discovery : extended selection from international workshops / / Yukio Ohsawa and Akinori Abe (eds.) |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2013 |
| Descrizione fisica | 1 online resource (XIV, 250 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
AbeAkinori
OhsawaY <1968-> (Yukio) |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Data mining
Decision making - Data processing |
| ISBN |
9783642301148
3642301142 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cognition and Communication toward Chance Discovery -- Curation and Communication in Chance Discovery -- Turning Down a Chance: An Argument From Simplicity -- A Chance Favors a Prepared Mind: Chance Discovery from Cognitive Psychology -- Data Visualization as Chance Curation -- Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks -- Map Interface for a Text Data Set by Recursive Clustering -- Multimodal Discussion Analysis based on Temporal Sequence -- Framework of early adopters roaming among tribes for discovering innovative creation -- Data-Driven Innovation Technologies for Smarter Business from Innovators’ Market Game to iChance Creativity Support System -- Computational and Logical Cutting Edges for Analysis and Synthesis of Data -- Paired Evaluators Method to Track Concept Drift: An Application in Finance -- Efficient Service Discovery Among Heterogeneous Agents Using a Novel Agent Ranking Algorithm -- Discovering Chances for Health Problems and Falls in the Elderly using Data Mining Approach -- Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery -- Discovering Probabilistic Models of Pilot Behavior from Aircraft Telemetry Data -- Constructing Feature Set by using Temporal Clustering of Term Usages in Document Categorization -- Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns. |
| Record Nr. | UNINA-9910437914303321 |
| Berlin ; ; New York, : Springer, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in rule interchange and applications : international symposium, ruleml 2007, orlando, florida, october 25-26, 2007 ; proceedings / / edited by Adrian Paschke, Yevgen Biletskiy
| Advances in rule interchange and applications : international symposium, ruleml 2007, orlando, florida, october 25-26, 2007 ; proceedings / / edited by Adrian Paschke, Yevgen Biletskiy |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, United States : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XI, 248 p.) |
| Disciplina | 006.74 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Metadata - Standards
Decision making - Data processing Semantic Web Management information systems Document markup languages |
| ISBN | 3-540-75975-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- How Ontologies and Rules Help to Advance Automobile Development -- Are Your Rules Online? Four Web Rule Essentials -- Session: Business Process, Policy and IT Service Management and Modeling -- KISS – Knowledge-Intensive Service Support: An Approach for Agile Process Management -- Specifying Process-Aware Access Control Rules in SBVR -- A Rule-Based Approach to Prioritization of IT Work Requests Maximizing Net Benefit to the Business -- Session: Rule Languages and Interchange Standards -- A Generic Module System for Web Rule Languages: Divide and Rule -- Towards Semantically Grounded Decision Rules Using ORM?+? -- Towards Ontological Commitments with ?-RIDL Markup Language -- Session: Business Rules, Rule Engines and Applications -- Recovering Business Rules from Legacy Source Code for System Modernization -- An Approach for Bridging the Gap Between Business Rules and the Semantic Web -- Take - A Rule Compiler for Derivation Rules -- Session: RuleML-2007 Challenge -- The OO jDREW Engine of Rule Responder: Naf Hornlog RuleML Query Answering -- Querying the Semantic Web with SWRL -- Implementation of Production Rules for a RIF Dialect: A MISMO Proof-of-Concept for Loan Rates -- Session: Rules, Reasoning, and Ontologies -- Adapting the Rete-Algorithm to Evaluate F-Logic Rules -- Rule Definition for Managing Ontology Development -- Integrating Rules and Description Logics with Circumscription for the Semantic Web -- XML Data Compatibility from the Ground Up -- Session: Reaction Rules and Rule Applications -- Exploiting E-C-A Rules for Defining and Processing Context-Aware Push Messages -- The Use of Ontologies and Rules to Assist in Academic Advising -- Towards Knowledge Extraction from Weblogs and Rule-Based Semantic Querying -- Complex Information Management Using a Framework Supported by ECA Rules in XML -- AIM: An XML-Based ECA Rule Language for Supporting a Framework for Managing Complex Information. |
| Record Nr. | UNISA-996465548103316 |
| Berlin, Germany ; ; New York, United States : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Analytics in a big data world : the essential guide to data science and its applications / / Bart Baesens
| Analytics in a big data world : the essential guide to data science and its applications / / Bart Baesens |
| Autore | Baesens Bart |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (xv, 232 pages) : illustrations |
| Disciplina | 658.4/038 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Big data
Management - Statistical methods Management - Data processing Decision making - Data processing |
| ISBN |
1-118-89274-7
1-118-89271-2 1-119-20418-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Big data and analytics -- 2. Data collection, sampling, and preprocessing -- 3. Predictive analytics -- 4. Descriptive analytics -- 5. Survival analysis -- 6. Social network analytics -- 7. Analytics : putting it all to work -- 8. Example applications. |
| Record Nr. | UNINA-9910141723703321 |
Baesens Bart
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analytics in a big data world : the essential guide to data science and its applications / / Bart Baesens
| Analytics in a big data world : the essential guide to data science and its applications / / Bart Baesens |
| Autore | Baesens Bart |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (xv, 232 pages) : illustrations |
| Disciplina | 658.4/038 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Big data
Management - Statistical methods Management - Data processing Decision making - Data processing |
| ISBN |
1-118-89274-7
1-118-89271-2 1-119-20418-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Big data and analytics -- 2. Data collection, sampling, and preprocessing -- 3. Predictive analytics -- 4. Descriptive analytics -- 5. Survival analysis -- 6. Social network analytics -- 7. Analytics : putting it all to work -- 8. Example applications. |
| Record Nr. | UNINA-9910813918803321 |
|
Baesens Bart
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The analytics lifecycle toolkit : a practical guide for an effective analytics capability / / by Gregory S. Nelson
| The analytics lifecycle toolkit : a practical guide for an effective analytics capability / / by Gregory S. Nelson |
| Autore | Nelson Gregory S. <1964-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (467 pages) |
| Disciplina | 658.4/033 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Management - Statistical methods
Management - Data processing Decision making - Data processing |
| ISBN |
1-119-42510-7
1-119-42509-3 1-119-42508-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analytics overview -- The people of analytics -- Organizational context for analytics -- Data strategy, platforms, and architecture -- The analytics lifecycle toolkit -- Problem framing -- Data sensemaking -- Analytic model development -- Results activation -- Analytics product management -- Actioning analytics -- Core competencies for analytic teams -- The future of analytics. |
| Record Nr. | UNINA-9910271037303321 |
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Nelson Gregory S. <1964->
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| Hoboken, New Jersey : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The analytics lifecycle toolkit : a practical guide for an effective analytics capability / / by Gregory S. Nelson
| The analytics lifecycle toolkit : a practical guide for an effective analytics capability / / by Gregory S. Nelson |
| Autore | Nelson Gregory S. <1964-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (467 pages) |
| Disciplina | 658.4/033 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Management - Statistical methods
Management - Data processing Decision making - Data processing |
| ISBN |
1-119-42510-7
1-119-42509-3 1-119-42508-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analytics overview -- The people of analytics -- Organizational context for analytics -- Data strategy, platforms, and architecture -- The analytics lifecycle toolkit -- Problem framing -- Data sensemaking -- Analytic model development -- Results activation -- Analytics product management -- Actioning analytics -- Core competencies for analytic teams -- The future of analytics. |
| Record Nr. | UNINA-9910815447903321 |
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Nelson Gregory S. <1964->
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| Hoboken, New Jersey : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Augmented exploitation : artificial intelligence, automation and work / / editors, Phoebe Moore, Jamie Woodcock
| Augmented exploitation : artificial intelligence, automation and work / / editors, Phoebe Moore, Jamie Woodcock |
| Pubbl/distr/stampa | London : , : Pluto Press, , [2021] |
| Descrizione fisica | 1 online resource (193 pages) : illustrations |
| Disciplina | 658.4030028563 |
| Soggetto topico |
Management information systems
Decision making - Data processing Artificial intelligence |
| ISBN |
0-7453-4351-1
0-7453-4353-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI trainers: who is the smart worker today? / Phoebe V. Moore -- Work now, profit later: AI between capital, labour, and regulation / Toni Prug and Paško Bilić -- Delivering food on bikes: between machinic subordination and autonomy in the algorithmic workplace / Benjamin Herr -- Putting the habitus to work: digital presumption, surveillance, and distinction / Eduard Müller -- The power of prediction: people analytics at work / Uwe Vormbusch and Peter Kels -- Manufacturing consent in the gig economy / Luca Perrig -- Automated and autonomous?: technologies mediating the exertion and perception of labour control / Beatriz Casas ́González -- Can robots produce customer confidence?: contradictions among automation, new mechanisms of control, and resistances in the banking labour process / Giorgio Boccardo -- It gets better with age: AI and the labour process in old and new gig-economy firms / Adam Badger -- Self-tracking and sousveillance at work: insights from human-computer interaction and social science / Marta E. Cecchinato, Sandy J. J. Gould, and Frederick Harry Pitts -- Breaking digital atomisation: resistant cultures of solidarity in platform-based courier work / Heiner Heiland and Simon Schaupp -- Resisting the algorithmic boss: guessing, gaming, reframing, and contesting rules in app-based management / Joanna Bronowicka and Mirela Ivanova. |
| Record Nr. | UNINA-9910794404303321 |
| London : , : Pluto Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Augmented exploitation : artificial intelligence, automation and work / / editors, Phoebe Moore, Jamie Woodcock
| Augmented exploitation : artificial intelligence, automation and work / / editors, Phoebe Moore, Jamie Woodcock |
| Pubbl/distr/stampa | London : , : Pluto Press, , [2021] |
| Descrizione fisica | 1 online resource (193 pages) : illustrations |
| Disciplina | 658.4030028563 |
| Soggetto topico |
Management information systems
Decision making - Data processing Artificial intelligence |
| ISBN |
0-7453-4351-1
0-7453-4353-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI trainers: who is the smart worker today? / Phoebe V. Moore -- Work now, profit later: AI between capital, labour, and regulation / Toni Prug and Paško Bilić -- Delivering food on bikes: between machinic subordination and autonomy in the algorithmic workplace / Benjamin Herr -- Putting the habitus to work: digital presumption, surveillance, and distinction / Eduard Müller -- The power of prediction: people analytics at work / Uwe Vormbusch and Peter Kels -- Manufacturing consent in the gig economy / Luca Perrig -- Automated and autonomous?: technologies mediating the exertion and perception of labour control / Beatriz Casas ́González -- Can robots produce customer confidence?: contradictions among automation, new mechanisms of control, and resistances in the banking labour process / Giorgio Boccardo -- It gets better with age: AI and the labour process in old and new gig-economy firms / Adam Badger -- Self-tracking and sousveillance at work: insights from human-computer interaction and social science / Marta E. Cecchinato, Sandy J. J. Gould, and Frederick Harry Pitts -- Breaking digital atomisation: resistant cultures of solidarity in platform-based courier work / Heiner Heiland and Simon Schaupp -- Resisting the algorithmic boss: guessing, gaming, reframing, and contesting rules in app-based management / Joanna Bronowicka and Mirela Ivanova. |
| Record Nr. | UNINA-9910809546103321 |
| London : , : Pluto Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Belief functions, theory and applications : 7th international conference, BELIEF 2022, Paris, France, October 26-28, 2022, proceedings / / edited by Sylvie Le Hégarat-Mascle, Isabelle Bloch, and Emanuel Aldea
| Belief functions, theory and applications : 7th international conference, BELIEF 2022, Paris, France, October 26-28, 2022, proceedings / / edited by Sylvie Le Hégarat-Mascle, Isabelle Bloch, and Emanuel Aldea |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (318 pages) |
| Disciplina | 658.403 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Decision making - Mathematical models
Decision making - Data processing |
| ISBN | 3-031-17801-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Evidential Clustering -- A Distributional Approach for Soft Clustering Comparison and Evaluation -- 1 Introduction -- 2 Background and Related Work -- 2.1 Background on Clustering -- 2.2 Clustering Comparison Measures -- 3 A General Framework for Soft Clustering Evaluation Measures -- 3.1 Distribution-Based Representation of Soft Clustering -- 3.2 Distributional Measures -- 3.3 Approximation Methods -- 4 Illustrative Experiment -- 5 Conclusion -- References -- Causal Transfer Evidential Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Transfer Evidential Clustering -- 2.2 Causal Feature Selection -- 3 Causal Transfer Evidential Clustering -- 4 Experiments -- 4.1 Synthetic Datasets -- 4.2 ALARM Network Dataset -- 5 Conclusion -- References -- A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels -- 1 Introduction -- 2 Use of Soft Labels in a Variational Bayesian GMM -- 2.1 Directed Acyclic Graph -- 2.2 Learning Problem Under pl -- 2.3 Algorithm and Automatic Relevance Determination -- 3 First Results and First Conclusion -- 3.1 Data Set Description -- 3.2 The Priors -- 3.3 Sorting the Partitions -- 3.4 Results -- 4 Conclusion -- References -- Evidential Clustering by Competitive Agglomeration -- 1 Introduction -- 2 Background -- 2.1 Competitive Agglomeration (CA) -- 2.2 Basic Concepts of Belief Functions -- 3 Main Results -- 3.1 Basic Idea and Motivations -- 3.2 The Proposed Method -- 4 Experimental Evaluation -- 4.1 An Numerical Example: Four-Class Dataset -- 4.2 Compared with Other Clustering Methods -- 5 Conclusion -- References -- Imperfect Labels with Belief Functions for Active Learning -- 1 Introduction -- 2 Background -- 2.1 Reminder on Belief Functions -- 2.2 K-Nearest Neighbors -- 2.3 EK-NN -- 2.4 Active Learning.
3 Classification of Imperfectly Labeled Data with EK-NN and Active Learning -- 3.1 EK-NN for Imperfectly Labeled Data -- 3.2 Parameters Optimization and i-EKNN -- 3.3 Labeling with Uncertainty and Imprecision -- 4 Experiments -- 4.1 Different Approaches for Parameter -- 4.2 Experiment on Noised Real World Datasets -- 4.3 Experiment on Imperfectly Labeled Datasets -- 5 Conclusion -- References -- Machine Learning and Pattern Recognition -- An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers -- 1 Introduction -- 2 Epistemic Random Fuzzy Sets -- 2.1 General Framework -- 2.2 Gaussian Random Fuzzy Numbers -- 3 Neural Network Model -- 3.1 Propagation Equations -- 3.2 Loss Function -- 4 Experimental Results -- 4.1 Illustrative Example -- 4.2 Comparative Experiment -- 5 Conclusions -- References -- Ordinal Classification Using Single-Model Evidential Extreme Learning Machine -- 1 Introduction -- 2 Background -- 2.1 Dempster-Shafer Theory -- 2.2 Ordinal Extreme Learning Machine -- 3 Single-Model Multi-output Evidential Ordinal Extreme Learning Machine -- 3.1 Evidential Encoding Schemes -- 3.2 Construction of Evidential Ordinal ELM Model -- 4 Experiments -- 4.1 Artificial Dataset -- 4.2 UCI Datasets -- 5 Conclusion -- References -- Reliability-Based Imbalanced Data Classification with Dempster-Shafer Theory -- 1 Introduction -- 2 Reliability-Based Imbalanced Data Classification -- 2.1 Multiple Under-Sampling for Majority Class -- 2.2 Evaluate the Local Reliability for Classifiers Fusion -- 2.3 Employ Neighbors for Final Decision -- 3 Experiment Applications -- 3.1 Benchmark Datasets -- 3.2 Performance Evaluation -- 3.3 Influence of K and -- 3.4 Execution Time -- 4 Conclusion -- References -- Evidential Regression by Synthesizing Feature Selection and Parameters Learning -- 1 Introduction -- 2 Preliminaries. 2.1 Dempster-Shafer Theory -- 2.2 EVREG: Evidential Regression -- 3 Proposed Method -- 3.1 Construction of Evaluation Function -- 3.2 Feature Selection and Parameters Learning -- 4 Numerical Experiment -- 5 Conclusion -- References -- Algorithms and Evidential Operators -- Distributed EK-NN Classification -- 1 Introduction -- 2 Preliminaries -- 2.1 EK-NN: Evidential K-NN Classifier -- 2.2 Apache Spark -- 3 GE2K-NN: Global Exact EK-NN -- 4 Experiments -- 4.1 Performance Evaluation -- 4.2 Multi-node Experiments on TACC Frontera -- 5 Conclusions -- References -- On Improving a Group of Evidential Sources with Different Contextual Corrections -- 1 Introduction -- 2 Belief Functions: Notations and Concepts Used -- 2.1 Basic Concepts -- 2.2 Corrections -- 3 Learning a Group of Evidential Sources -- 4 Experiments -- 5 Conclusion -- References -- Measure of Information Content of Basic Belief Assignments -- 1 Introduction -- 2 Belief Functions -- 3 Generalized Entropy of a BBA -- 4 Information Content of a BBA -- 5 Information Gain and Information Loss -- 6 Conclusions -- References -- Belief Functions on Ordered Frames of Discernment -- 1 Introduction -- 2 Power Set of Ordered Elements -- 3 Combination of Belief Functions on Ordered Power Set -- 4 Distances on Belief Functions on Ordered Power Set -- 4.1 Distance Between Ordered Elements -- 4.2 Distance Between Belief Functions -- 5 Decision and Conflict on Ordered Elements -- 6 Belief Functions on Ordered Fuzzy Elements -- 7 Conclusion -- References -- On Modelling and Solving the Shortest Path Problem with Evidential Weights -- 1 Introduction -- 2 Preliminaries -- 2.1 Deterministic Shortest Path Problem -- 2.2 Belief Function Theory -- 3 Shortest Path Problem with Evidential Weights -- 3.1 Modelling -- 3.2 Solving -- 3.3 Sizes of Optweak and Optstr -- 4 Conclusion -- References. Data and Information Fusion -- Heterogeneous Image Fusion for Target Recognition Based on Evidence Reasoning -- 1 Introduction -- 2 Brief Recall of Evidence Reasoning -- 3 Heterogeneous Image Fusion for Target Recognition -- 3.1 Mutual Learning of the Networks for Heterogeneous Images -- 3.2 Weighted Fusion of Multiple Classification Results -- 4 Experiment -- 4.1 Datasets and Preprocessing -- 4.2 Experimental Environment and Parameter Settings -- 4.3 Effectiveness of the Mutual Learning of Heterogeneous Images -- 4.4 Results and Analysis -- 5 Conclusion -- References -- Cluster Decomposition of the Body of Evidence -- 1 Introduction -- 2 Basic Concepts of the Evidence Theory -- 3 Evidence Clustering -- 3.1 Restriction and Extension of the Mass Function -- 3.2 Statement of the Problem of Clustering the Body of Evidence Based on Conflict Optimization -- 3.3 Cluster Decomposition of Evidence Based on the Conflict Density Function -- 3.4 The k-Means Algorithm for the Body of Evidence -- 4 Evaluation of the Internal Conflict of the Body of Evidence Based on Its Clustering -- 5 Conclusion -- References -- Evidential Trustworthiness Estimation for Cooperative Perception -- 1 Introduction -- 2 Related Works -- 3 Problem Statement with Object Detectability -- 4 Evidential Trustworthiness Estimation -- 4.1 Coherency -- 4.2 Consistency -- 4.3 Confirmation Through Free Space and Objects -- 5 Results -- 5.1 Simulation Study -- 5.2 Experimental Results -- 6 Conclusion -- References -- An Intelligent System for Managing Uncertain Temporal Flood Events -- 1 Introduction -- 2 Preliminaries -- 2.1 Theory of Belief Functions -- 2.2 Allen's Interval Algebra -- 3 Temporal Representation and Reasoning Under Uncertainty -- 3.1 Modeling Uncertain Temporal Flood Events -- 3.2 Temporal Reasoning Under Uncertainty -- 4 Intelligent Query-Answering System. 4.1 System Architecture -- 4.2 Illustrative Examples -- 5 Conclusions and Future Work -- References -- Statistical Inference - Graphical Models -- A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference -- 1 Introduction -- 2 Background -- 3 Valid Inference Under Partial Priors -- 3.1 Partial Priors -- 3.2 Validity and Its Consequences -- 3.3 How to Achieve (Strong) Validity -- 4 Practical IM Construction -- 4.1 Likelihood-Based Contour -- 4.2 Computation -- 5 Illustration -- 6 Conclusion -- References -- On Conditional Belief Functions in the Dempster-Shafer Theory -- 1 Introduction -- 2 Basics of D-S Theory of Belief Functions -- 3 Conditional Belief Functions -- 4 Summary and Conclusions -- References -- Valid Inferential Models Offer Performance and Probativeness Assurances -- 1 Introduction -- 2 Background -- 2.1 Two-Theory Problem -- 2.2 Inferential Models Overview -- 3 Two P's in the Same Pod -- 3.1 Performance -- 3.2 Probativeness -- 4 Illustrations -- 4.1 Normal Mean -- 4.2 Bivariate Normal Correlation -- 5 Conclusion -- References -- Links with Other Uncertainty Theories -- A Qualitative Counterpart of Belief Functions with Application to Uncertainty Propagation in Safety Cases -- 1 Introduction -- 2 From Belief Functions to Qualitative Capacities -- 3 Expert Elicitation Approach -- 4 Logical Inference for Qualitative Capacities -- 5 Application to Safety Cases -- 6 Application Example -- 7 Conclusion -- References -- The Extension of Dempster's Combination Rule Based on Generalized Credal Sets -- 1 Introduction -- 2 Basic Notions Concerning Monotone Measures and Belief Functions -- 3 Modelling Uncertainty by Belief Functions and Imprecise Probabilities -- 4 Contradictory Upper Previsions and Generalized Credal Sets -- 5 Updating Information Based on LG-Credal Sets -- 6 Generalized Credal Sets and Dempster's Rule. 7 Conclusion. |
| Record Nr. | UNISA-996490357703316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big data revolution : what farmers, doctors and insurance agents teach us about discovering big data patterns / / Rob Thomas, Patrick McSharry
| Big data revolution : what farmers, doctors and insurance agents teach us about discovering big data patterns / / Rob Thomas, Patrick McSharry |
| Autore | Thomas Rob |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (291 p.) |
| Disciplina | 658.40302856312 |
| Soggetto topico |
Decision making - Data processing
Big data Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-94372-4
1-118-94373-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Copyright Page; About the Authors; Contents; Prologue; Berkeley, 1930's; Pattern Recognition; Nelson Peltz; Committing to One Percent; The Big Data Revolution; Introduction; Storytelling; Objective; Outline; Part I "The Revolution Starts Now: 9 Industries Transforming with Data"; Part II "Learning from Patterns in Big Data"; Part III "Leading the Revolution"; Storytelling (Continued); Part I: The Revolution Starts Now: 9 Industries Transforming With Data; Chapter 1: Transforming Farms with Data; California, 2013; Brief History of Farming; The Data Era; Potato Farming
Precision Farming Capturing Farm Data; Deere & Company Versus Monsanto; Integrated Farming Systems; Data Prevails; The Climate Corporation; Growsafe Systems; Farm of the Future; California, 2013 (Continued) ; Chapter 2: Why Doctors Will Have Math Degrees; United States, 2014; The History of Medical Education; Scientific Method; Rise of Specialists; We Have a Problem; Ben Goldacre; Vinod Khosla; The Data Era; Collecting Data; Telemedicine; Innovating with Data; Implications of a Data-Driven Medical World; The Future of Medical School; A Typical Medical School; A Medical School for the Data Era United States, 2030 Chapter 3: Revolutionizing Insurance: Why Actuaries Will Become Data Scientists; Middle of Somewhere, 2012; Short History of Property & Casualty Insurance and Underwriting; Actuarial Science In Insurance; Pensions, Insurance, Leases; Compound Interest; Probability; Mortality Data; Modern-Day Insurance; Eight Weeks to Eight Days; Online Policies; The Data Era; Dynamic Risk Management; Catastrophe Risk; Open Access Modeling; Opportunities; Middle of Somewhere, 2012 (Continued); Chapter 4: Personalizing Retail and Fashion; Karolina; A Brief History of Retail; Retail Eras Aristide Boucicaut The Shift ; The Data Era; Stitch Fix; Keaton Row; Zara; Karolina (Continued); Chapter 5: Transforming Customer Relationships with Data; Buying a House; Brief History of Customer Service; Customer Service Over Time; Boeing; Financial Services; The Data Era; An Automobile Manufacturer; Zendesk; Buying a House (Continued); Chapter 6: Intelligent Machines; Denmark; Intelligent Machines; Machine Data; The Data Era; General Electric; Drones; Tesla; Networks of Data; Denmark (Continued); Chapter 7: Government and Society; Egypt, 2011; Social Media; Intelligence; Snowden Effect Privacy Risk Versus Reward Observation or Surveillance; Development Targets; Open Data; Hackathons; Open Access; Ensuring Personal Protection; Private Clouds; Sanitizing Data; Evidence-Based Policy; Public-Private Partnerships ; Impact Bonds; Social Impact Bond; Development Impact Bonds; The Role of Big Data; Egypt, 2011 (Continued); Chapter 8: Corporate Sustainability; City of London; Global Megaforces; Population; Carbon Footprint; Water Scarcity; Environmental Risk; BP and Exxon Mobile; Early Warning Systems; Social Media; Risk and Resilience; Measuring Sustainability Long-Term Decision Making |
| Record Nr. | UNINA-9910460307803321 |
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Thomas Rob
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| West Sussex, England : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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