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Data Privacy: Foundations, New Developments and the Big Data Challenge / / by Vicenç Torra
| Data Privacy: Foundations, New Developments and the Big Data Challenge / / by Vicenç Torra |
| Autore | Torra Vicenç |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 269 p. 22 illus.) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-57358-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Machine and Statistical Learning -- On the Classification of Protection Procedures -- User’s privacy -- Privacy Models and Disclosure Risk Measures -- Masking methods -- Information loss: evaluation and measures -- Selection of masking methods -- Conclusions. |
| Record Nr. | UNINA-9910254316503321 |
Torra Vicenç
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling Decisions for Artificial Intelligence : 21st International Conference, MDAI 2024, Tokyo, Japan, August 27-31, 2024, Proceedings
| Modeling Decisions for Artificial Intelligence : 21st International Conference, MDAI 2024, Tokyo, Japan, August 27-31, 2024, Proceedings |
| Autore | Torra Vicenç |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (257 pages) |
| Altri autori (Persone) |
NarukawaYasuo
KikuchiHiroaki |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-68208-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Invited Papers -- The Past and Future of Fuzzy Measures and Fuzzy Integrals -- 1 Introduction -- 2 On Prof. Sugeno's Doctoral Thesis ``Theory of Fuzzy Integrals and Its Applications'' (Yasuo Narukawa) -- 3 On MCDA Based on Fuzzy Measures and Its Integrals (Katsushige Fujimoto) -- 4 On Prof. Sugeno and the Choquet Integral (Vicenç Torra) -- 5 On the Three Questions Prof. Sugeno Asked Related to the Choquet Integral Computation (Zuzana Ontkovičová) -- 6 Prof. Sugeno at MDAI -- References -- Taste Media: Innovative Technology Transforms the Eating Experience -- 1 Introduction -- 2 FEELTECH Taste Sharing -- 3 Electric Salt -- 4 Norimaki Synthesizer -- 5 Taste Printer TTTV (Taste the TV) -- 6 Seasoning Appliance TTTV2 -- 7 Reproducing Differences in Production Regions and Varieties -- 8 Bottle Mounted Seasoner -- 9 Time Machine for Taste -- 10 Time Manipulating Seasoning -- 11 Video Images with Taste Information -- 12 Conclusion -- References -- Fuzzy Measures and Integrals -- An Axiomatic Definition of Non-discrete Möbius transform -- 1 Introduction -- 2 Möbius Base Function and Restrictions by Topological Assumptions -- 3 Axiomatic Definition of Möbius Transform -- 4 Möbius Transform with Bounded Variation -- 5 Conclusion -- References -- Fuzzy Rough Choquet Distances -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy Rough Set Theory -- 2.2 Fuzzy-Rough Attribute Measures -- 2.3 Choquet Integral -- 3 Fuzzy Rough Choquet Distances -- 3.1 Fuzzy Rough Choquet P-Distances -- 3.2 Choquet Distances for Classification -- 4 Conclusion and Future Research -- References -- Uncertainty in AI -- Entropies from f-Divergences -- 1 Introduction -- 2 f-Divergences -- 3 Majorization and Homogeneity -- 4 Entropies from f-Divergences -- 4.1 Cichocki and Amari ch5Cichocki10 Approach -- 4.2 Topsøe Approach ch5Topsoe2004.
5 Conclusions and Future Work -- References -- Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative -- 1 Introduction -- 2 Interval Priority Weight Estimation Problem -- 3 Numerical Experiments -- 4 Results -- 5 Concluding Remarks -- References -- Clustering -- Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor -- 1 Introduction -- 2 Preliminaries -- 2.1 Noise Clustering -- 2.2 Sequential Noise Clustering -- 2.3 Local Outlier Factor -- 3 Proposed Method -- 3.1 Noise Clustering Based on Local Outlier Factor -- 3.2 Sequential Cluster Extraction Based on NCLOF -- 4 Numerical Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 4.3 Discussion -- 5 Conclusions -- References -- On Objective-Based Clustering from the Perspective of Transportation Problem -- 1 Introduction -- 2 Transportation Problem -- 3 Objective-Based Clustering -- 3.1 Hard c-Means and Fuzzy c-Means -- 3.2 Even-Sized Clustering and Fuzzy Even-Sized Clustering -- 4 Transportation Problem and Objective-Based Clustering -- 4.1 Relevance with HCM -- 4.2 Relevance with ECBO -- 4.3 Relevance with FCM -- 4.4 Relevance with FECBO -- 4.5 Relevance with Other Clustering Methods -- 5 Some Considerations on Clustering with Implications from the Transportation Problem -- 5.1 Supply and Demand -- 5.2 Proposal of Evaluation Function for Clustering -- 6 Conclusion -- References -- Data Science and Data Privacy -- Decision Tree Based Inference of Lightning Network Client Implementations -- 1 Introduction -- 2 Lightning Network Background -- 2.1 Gossip Protocol -- 2.2 Feature Flags -- 2.3 LN Clients -- 3 State of the Art -- 4 LN Client Inference Scenarios -- 4.1 Scenario 1: Traffic Based Inference -- 4.2 Scenario 2: BOLT #9 Features Based Inference -- 5 Experimental Setup. 5.1 Regtest Network Environment -- 5.2 Mainnet Network Environment -- 5.3 Model Training and Testing -- 6 Evaluation of the Models -- 6.1 Regtest Network Environment -- 6.2 Mainnet Network Environment -- 7 Inferring the Distribution of LN Client Implementations -- 8 Conclusions and Further Research -- References -- nuggets: Data Pattern Extraction Framework in R -- 1 Introduction -- 2 Background Definitions -- 3 Pattern Searching Framework -- 4 Types of Patterns from Tabular Data -- 4.1 Implicative Association Rules -- 4.2 Conditional Correlations -- 4.3 Emerging Patterns -- 5 The Implementation in R -- 5.1 How to Obtain the nuggets package -- 5.2 Searching for Patterns -- 6 Example: Search for Implicative Association Rules -- 7 Technical Details -- 8 Conclusion -- References -- User-Centred Argumentation Analysis of Local Explanations in Explainable AI -- 1 Introduction -- 2 Explanation Generation and Expert User's Knowledge -- 2.1 Local Explanation Generation -- 2.2 Expert User's Knowledge Conjectures -- 3 Analogical Statements: Forms and Interpretations -- 3.1 The Notational Form -- 3.2 The Relational Form -- 4 Reconstructing Expert User's Post-Hoc Analogical Arguments -- 5 When Expert User's Arguments for Analogies Are Deductive -- 6 Faithful Feature-Attribution Methods Are Founded -- 7 Conclusion and Related Work -- References -- Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification -- 1 Introduction -- 2 Fuzzy Nearest Prototype Classification -- 3 Maximum-Margin Fuzzy Nearest Prototype Classifier -- 3.1 Margin-Maximization Problem and Reformulation -- 3.2 Initialization -- 3.3 Training Algorithm -- 4 Numerical Study -- 5 Concluding Remarks -- References -- Bistochastically Private Release of Data Streams with Zero Delay -- 1 Introduction -- 2 Background Elements -- 2.1 Randomized Response -- 2.2 Bistochastic Privacy. 3 Bistochastically Private Continuous Publication of Data Streams -- 3.1 T-transforms and Elementary Plausible Deniability -- 3.2 Data Stream Anonymization Through Successive T-transformations -- 3.3 Application to Categorical Attributes -- 3.4 Application to Several Attributes -- 4 Empirical Illustrations -- 5 Conclusions and Future Work -- References -- Differentially Private Extreme Learning Machine -- 1 Introduction -- 2 Preliminaries -- 2.1 Extreme Learning Machine -- 2.2 Differential Privacy -- 3 Our DPELM Algorithm -- 4 Utility Evaluation for DPELM -- 5 Conclusion -- References -- Studying the Impact of Edge Privacy on Link Prediction in Temporal Graphs -- 1 Introduction -- 2 Related Work -- 3 Basic Definitions -- 3.1 Edge Privacy for Dynamic Graphs -- 3.2 Parallel Protection Mechanism -- 4 Experimental Evaluation -- 4.1 Experiment Description -- 4.2 Temporal Link Prediction -- 5 Conclusions -- References -- Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI -- 1 Introduction -- 2 The Importance of Similarity in ML Classification -- 3 The Similarity Assessment User Study -- 3.1 Methods -- 3.2 The User Study Results -- 4 Discussion -- 5 Conclusions -- References -- On the Necessity of Counterfeits and Deletions for Continuous Data Publishing -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Contribution and Plan of This Paper -- 2 Preliminary Definitions and Results -- 3 Clean Publication -- 3.1 Heuristic Algorithm -- 4 Clusters for the m-invariant Publication -- 4.1 Privacy Guarantee -- 4.2 Comparing Clustering Against Deletions -- 5 Conclusions -- References -- A Poisoning-Resilient LDP Schema Leveraging Oblivious Transfer with the Hadamard Transform -- 1 Introduction -- 2 Local Differential Privacy -- 2.1 Fundamental Definition -- 2.2 Count Mean Sketch -- 2.3 Hadamard Count Mean Sketch. 2.4 1-out-of-2 Oblivious Transfer -- 2.5 Poisoning -- 3 Proposed Method -- 3.1 Threat Model -- 3.2 Secure OT-HCMS -- 4 Evaluation -- 4.1 Datasets -- 4.2 Methodology -- 4.3 Results -- 4.4 Discussion -- 5 Conclusions -- References -- Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data -- 1 Introduction -- 2 Related Works -- 2.1 TAPAS -- 3 Proposed Framework -- 4 Experimental Evaluation -- 4.1 Settings -- 4.2 Utility Evaluation -- 4.3 Evaluation of Effective Epsilon -- 4.4 Additional Experiments -- 4.5 Consideration -- 5 Conclusion -- References -- Transforming Stock Price Forecasting: Deep Learning Architectures and Strategic Feature Engineering -- 1 Introduction -- 2 Literature Review -- 2.1 Traditional Models -- 2.2 Deep Learning Integration -- 2.3 Feature Engineering in Model Development -- 3 Methodology -- 3.1 Data Collection -- 3.2 Feature Engineering -- 3.3 Model Selection and Evaluation Metrics -- 4 Experiments and Results -- 4.1 Experimental Process -- 4.2 Comparative Analysis: Statistical, Machine Learning, and Deep Learning Models -- 4.3 Advanced Deep Learning Models: An Inter-Comparison -- 4.4 Raw OHLCV Data Versus Enhanced Dataset -- 5 Discussion -- 5.1 Summary of Findings and Contributions -- 5.2 Limitations -- 5.3 Suggestions for Future Improvements -- 6 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910881097403321 |
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Torra Vicenç
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling Decisions for Artificial Intelligence : 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, Proceedings
| Modeling Decisions for Artificial Intelligence : 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, Proceedings |
| Autore | Torra Vicenç |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (214 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NarukawaYasuo |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato | Science |
| ISBN | 3-031-13448-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996486772003316 |
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Torra Vicenç
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Modeling Decisions for Artificial Intelligence : 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, Proceedings
| Modeling Decisions for Artificial Intelligence : 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, Proceedings |
| Autore | Torra Vicenç |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (214 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NarukawaYasuo |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato | Science |
| ISBN | 3-031-13448-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910591030103321 |
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Torra Vicenç
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Scala: From a Functional Programming Perspective [[electronic resource] ] : An Introduction to the Programming Language / / by Vicenç Torra
| Scala: From a Functional Programming Perspective [[electronic resource] ] : An Introduction to the Programming Language / / by Vicenç Torra |
| Autore | Torra Vicenç |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 124 p. 7 illus.) |
| Disciplina | 005.114 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Programming languages (Electronic computers)
Computer programming Software engineering Mathematical logic Computers Pattern recognition Programming Languages, Compilers, Interpreters Programming Techniques Software Engineering Mathematical Logic and Formal Languages Models and Principles Pattern Recognition |
| ISBN | 3-319-46481-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An introduction to functional programming languages -- The basics of the language -- Lazy and eager evaluation -- Object-oriented programming in Scala -- Types and classes revisited: polymorphism -- Scala: OOL and FP -- Algebraic data types -- Parallelism. |
| Record Nr. | UNISA-996465557303316 |
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Torra Vicenç
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Scala: From a Functional Programming Perspective : An Introduction to the Programming Language / / by Vicenç Torra
| Scala: From a Functional Programming Perspective : An Introduction to the Programming Language / / by Vicenç Torra |
| Autore | Torra Vicenç |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 124 p. 7 illus.) |
| Disciplina | 005.114 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Programming languages (Electronic computers)
Computer programming Software engineering Mathematical logic Computers Pattern recognition Programming Languages, Compilers, Interpreters Programming Techniques Software Engineering Mathematical Logic and Formal Languages Models and Principles Pattern Recognition |
| ISBN | 3-319-46481-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An introduction to functional programming languages -- The basics of the language -- Lazy and eager evaluation -- Object-oriented programming in Scala -- Types and classes revisited: polymorphism -- Scala: OOL and FP -- Algebraic data types -- Parallelism. |
| Record Nr. | UNINA-9910484193103321 |
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Torra Vicenç
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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