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Modeling Decisions for Artificial Intelligence : 21st International Conference, MDAI 2024, Tokyo, Japan, August 27–31, 2024, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Hiroaki Kikuchi
| Modeling Decisions for Artificial Intelligence : 21st International Conference, MDAI 2024, Tokyo, Japan, August 27–31, 2024, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Hiroaki Kikuchi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (257 pages) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer systems Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer System Implementation Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 3-031-68208-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited paper -- Taste Media Innovative Technology Transforms the Eating Experience -- Fuzzy measures and integrals -- An axiomatic definition of non discrete Mbius transform -- Fuzzy Rough Choquet Distances -- Uncertainty in AI -- Entropies from f divergences -- Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative -- Clustering -- Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor -- On Objective Based Clustering from the Perspective of Transportation Problem -- Data science and data privacy -- Decision Tree Based Inference of Lightning Network Client Implementations -- nuggets Data Pattern Extraction Framework in R -- User centred Argumentation Analysis of Local Explanations in Explainable AI -- Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification -- Bistochastically private release of data streams with delay -- Differentially Private Extreme Learning Machine -- Studying the impact of edge privacy on link prediction in temporal graphs -- Dissimilar Similarities Comparing Human and Statistical Similarity Evaluation in Medical AI -- On the necessity of counterfeits and deletions for continuous data publishing -- A Poisoning-Resilient LDP schema leveraging Oblivious Transfer with the Hadamard Transform -- Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data -- Transforming Stock Price Forecasting Deep Learning Architectures and Strategic Feature Engineering. |
| Record Nr. | UNINA-9910881097403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling decisions for artificial intelligence : 18th international conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, proceedings / / Vicenç Torra, Yasuo Narukawa (editors)
| Modeling decisions for artificial intelligence : 18th international conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, proceedings / / Vicenç Torra, Yasuo Narukawa (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (351 pages) |
| Disciplina | 006.3015118 |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence |
| Soggetto topico | Artificial intelligence - Mathematical models |
| ISBN | 3-030-85529-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464447003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Modeling Decisions for Artificial Intelligence : 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa
| Modeling Decisions for Artificial Intelligence : 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (351 pages) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Machine theory Data mining Application software Artificial Intelligence Formal Languages and Automata Theory Data Mining and Knowledge Discovery Computer and Information Systems Applications |
| ISBN | 3-030-85529-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Andness-Directed Iterative OWA Aggregators -- New Eliahou semigroups and verification of the Wilf conjecture for genus up to 65 -- Are Sequential Patterns Shareable? Ensuring Individuals' Privacy -- Aggregation Operators and Decision Making -- On Two Generalizations for k-additivity -- Sequential decision-making using hybrid probability-possibility functions -- Numerical comparison of idempotent andness-directed aggregators -- Approximate Reasoning -- Multiple testing of conditional independence hypotheses using information-theoretic approach -- A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty -- How the F-transform can be defined for hesitant, soft or intuitionistic fuzzy sets? Enhancing social recommenders with implicit preferences and fuzzy confidence functions -- A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems -- Machine Learning -- Mass-based Similarity Weighted k-Neighbor for Class Imbalance -- Multinomial-based Decision Synthesis of ML Classification Outputs -- Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems -- Evidential undersampling approach for imbalanced datasets with class-overlapping and noise -- Well-Calibrated and Sharp Interpretable Multi-Class Models -- Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering -- q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data -- Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning -- Network Clustering with Controlled Node Size -- Data Science and Data Privacy -- Fair-ly Private Through Group Tagging and Relation Impact -- MEDICI: A simple to use synthetic social network data generator -- Answer Passage Ranking Enhancement Using Shallow Linguistic Features -- Neural embedded Dirichlet Processes for topic modeling -- Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts -- Explaining Image Misclassification in Deep Learning via Adversarial Examples.-Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control -- . |
| Record Nr. | UNINA-9910502651503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2–4, 2020, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell
| Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2–4, 2020, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (308 pages) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer science—Mathematics Application software Artificial Intelligence Information Systems and Communication Service Mathematics of Computing Theory of Computation Computer Applications |
| ISBN | 3-030-57524-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996418281303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Modeling Decisions for Artificial Intelligence : 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2–4, 2020, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell
| Modeling Decisions for Artificial Intelligence : 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2–4, 2020, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (308 pages) |
| Disciplina |
006.3015118
006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer science—Mathematics Application software Artificial Intelligence Information Systems and Communication Service Mathematics of Computing Theory of Computation Computer Applications |
| ISBN | 3-030-57524-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910416083903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue
| Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVIII, 235 p. 57 illus.) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Data mining Application software Information storage and retrieval Numerical analysis Artificial Intelligence Pattern Recognition Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Numeric Computing |
| ISBN | 3-319-67422-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Aggregation operators, fuzzy measures and integrals -- Clustering and classication -- Data privacy and security -- Data mining and applications. |
| Record Nr. | UNISA-996465980703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Modeling Decisions for Artificial Intelligence : 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue
| Modeling Decisions for Artificial Intelligence : 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVIII, 235 p. 57 illus.) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition systems Data mining Application software Information storage and retrieval systems Numerical analysis Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer and Information Systems Applications Information Storage and Retrieval Numerical Analysis |
| ISBN | 3-319-67422-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Aggregation operators, fuzzy measures and integrals -- Clustering and classication -- Data privacy and security -- Data mining and applications. |
| Record Nr. | UNINA-9910483905503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings / / edited by Vicenc Torra, Torra Narukawa
| Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings / / edited by Vicenc Torra, Torra Narukawa |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXVI, 243 p. 39 illus.) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern recognition
Data mining Application software Information storage and retrieval Numerical analysis Artificial intelligence Pattern Recognition Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Numeric Computing Artificial Intelligence |
| ISBN | 3-319-23240-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Invited Talks -- Modeling the Complex Search Space of DataPrivacy Problems -- Classifying Large Graphswith Differential Privacy -- Statistical Forecasting Using Belief Functions -- Preference Learning: Machine Learning MeetsPreference Modeling -- Game-Theoretic Approaches to DecisionMaking in Cyber-Physical Systems Security(Extended Abstract) -- Contents -- Invited Paper -- Classifying Large Graphs with Differential Privacy -- 1 Introduction -- 2 Background -- 2.1 Graph Kernels -- 2.2 Differential Privacy and Graphs -- 3 Private Kernels for Large Graphs -- 3.1 Private Graphlet Kernels -- 3.2 Private p-random Walk Kernels -- 4 Scaling Private Graphlet Kernels -- 4.1 Differential Privacy with Sampling -- 5 Experiments -- 5.1 Datasets -- 5.2 Experimental Setup -- 5.3 Classification Results -- 5.4 Sampling the Private Graphlet Kernel -- 6 Related Work -- 7 Conclusions -- References -- Aggregation Operators and Decision Making -- Extremal Completions of Triangular Norms Known on a Subregion of the Unit Interval -- 1 Introduction -- 2 Basic Notions and Results -- 3 Extremal Extensions of t-norms Without a Non-trivial Idempotent Element in [a,b] -- 3.1 Case When a=b -- 3.2 Case when a=0 -- 3.3 Case When b=1 -- 3.4 Case When 0 Spherical k-Means++ Clustering -- 1 Introduction -- 2 Preparation -- 2.1 Spherical k-Means Clustering -- 3 Extension of Dissimilarity in SKM -- 4 Analysis -- 4.1 Preliminary Step -- 4.2 Main Step -- 5 Spherical k-Means++ -- 6 Conclusion -- References -- On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data -- 1 Introduction -- 2 Preliminaries -- 2.1 Notation, Fuzzyc-Means, and Its Variants -- 2.2 Possibilistic Clustering -- 2.3 Fuzzy Clustering for Spherical Data -- 2.4 Fuzzy Clustering for Categorical Multivariate Data -- 3 Proposed Method -- 3.1 Modifying ePCM and tPCM -- 3.2 Possibilistic Clustering for Spherical Data -- 3.3 Possibilistic Clustering for Categorical Multivariate Data -- 4 Numerical Example -- 5 Conclusions -- References -- A Unified Theory of Fuzzy c-Means Clustering Models with Improved Partition -- 1 Introduction -- 2 Background -- 2.1 The Fuzzy c-Means Algorithm -- 2.2 Fuzzy c-Means with Improved Partition -- 2.3 Suppression of Fuzzy c-Means -- 3 The Unified Framework -- 4 Comparative Evaluation -- 5 Conclusions -- References -- Data Mining and Data Privacy -- Effective MVU via Central Prototypes and Kernel Ridge Regression -- 1 Introduction -- 2 Maximum Variance Unfolding -- 3 Selective MVU -- 3.1 Central Prototypes Selection -- 3.2 Complexity of Selective MVU -- 4 Experiments and Results -- 5 Conclusions and Future Extensions -- References -- Cooperative Multi-agent Learning in a Large Dynamic Environment -- 1 Introduction -- 2 Problem Statement -- 3 A Review of the D-DCM-MultiQ Method -- 3.1 Failure to Complete the Hunting Task (Blockage of Learning) -- 3.2 Inappropriate Dynamic Scenario -- 4 Our Proposed Learning Approach for Cooperative Multi-agents Systems in Dynamic Environments -- 4.1 First Proposal: The Action Selection Strategy. 4.2 Second Proposal: The Proposed Learning Method Strategy -- 5 Experiments and Analysis -- 5.1 Impact of Least Recently Visited States on the Selection of the Next State -- 5.2 Impact of Increasing the Number of Agents on Learning Performance -- 6 Conclusion -- References -- Optimized and Parallel Query Processing in Similarity-Based Databases -- 1 Introduction -- 2 Generalized Relational Model of Data -- 3 Query Processing -- 3.1 Compilation -- 3.2 Optimizations -- 4 Parallel Query Processing and Experimental Evaluation -- References -- An Evaluation of Edge Modification Techniques for Privacy-Preserving on Graphs -- 1 Introduction -- 1.1 Our Contributions -- 1.2 Notation -- 1.3 Roadmap -- 2 Edge Modification Techniques -- 3 Evaluating Framework -- 3.1 Tested Networks -- 3.2 Information Loss Measures -- 4 Experimental Results -- 5 Conclusions -- References -- Co-utile Collaborative Anonymization of Microdata -- 1 Introduction -- 1.1 Contribution and Plan of this Paper -- 2 Related Work -- 3 Collaborative Anonymization: Requirements and Justification -- 4 Collaborative k-Anonymity -- 5 Collaborative Masking of Confidential Data -- 6 Conclusions and Future Research -- A k-Anonymity -- B Reverse Mapping -- C Co-utility -- References -- Generalization-Based k-Anonymization -- 1 Introduction -- 2 Preliminaries -- 3 An Algorithm for k-Anonymization -- 4 Experiments -- 5 Conclusions -- References -- Logics -- The Complexity of 3-Valued Łukasiewicz Rules -- 1 Introduction -- 2 Preliminaries -- 3 Complexity of the Satisfiability Problem of 3-Valued Łukasiewicz Rules -- 4 Conclusions -- References -- Information Theory for Subjective Logic -- 1 Introduction -- 2 Ellsberg Paradox -- 3 Opinion Representation in Subjective Logic -- 4 Information Theory -- 5 Pignistic Entropy -- 6 Aggregate Uncertainty Entropy -- 7 Ambiguity Entropy -- 7.1 Belief Entropy. 7.2 Conceivability Entropy -- 8 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996200362303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Modeling Decisions for Artificial Intelligence : 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings / / edited by Vicenc Torra, Torra Narukawa
| Modeling Decisions for Artificial Intelligence : 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings / / edited by Vicenc Torra, Torra Narukawa |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXVI, 243 p. 39 illus.) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern perception
Data mining Application software Information storage and retrieval Numerical analysis Artificial intelligence Pattern Recognition Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Numeric Computing Artificial Intelligence |
| ISBN | 3-319-23240-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Invited Talks -- Modeling the Complex Search Space of DataPrivacy Problems -- Classifying Large Graphswith Differential Privacy -- Statistical Forecasting Using Belief Functions -- Preference Learning: Machine Learning MeetsPreference Modeling -- Game-Theoretic Approaches to DecisionMaking in Cyber-Physical Systems Security(Extended Abstract) -- Contents -- Invited Paper -- Classifying Large Graphs with Differential Privacy -- 1 Introduction -- 2 Background -- 2.1 Graph Kernels -- 2.2 Differential Privacy and Graphs -- 3 Private Kernels for Large Graphs -- 3.1 Private Graphlet Kernels -- 3.2 Private p-random Walk Kernels -- 4 Scaling Private Graphlet Kernels -- 4.1 Differential Privacy with Sampling -- 5 Experiments -- 5.1 Datasets -- 5.2 Experimental Setup -- 5.3 Classification Results -- 5.4 Sampling the Private Graphlet Kernel -- 6 Related Work -- 7 Conclusions -- References -- Aggregation Operators and Decision Making -- Extremal Completions of Triangular Norms Known on a Subregion of the Unit Interval -- 1 Introduction -- 2 Basic Notions and Results -- 3 Extremal Extensions of t-norms Without a Non-trivial Idempotent Element in [a,b] -- 3.1 Case When a=b -- 3.2 Case when a=0 -- 3.3 Case When b=1 -- 3.4 Case When 0 Spherical k-Means++ Clustering -- 1 Introduction -- 2 Preparation -- 2.1 Spherical k-Means Clustering -- 3 Extension of Dissimilarity in SKM -- 4 Analysis -- 4.1 Preliminary Step -- 4.2 Main Step -- 5 Spherical k-Means++ -- 6 Conclusion -- References -- On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data -- 1 Introduction -- 2 Preliminaries -- 2.1 Notation, Fuzzyc-Means, and Its Variants -- 2.2 Possibilistic Clustering -- 2.3 Fuzzy Clustering for Spherical Data -- 2.4 Fuzzy Clustering for Categorical Multivariate Data -- 3 Proposed Method -- 3.1 Modifying ePCM and tPCM -- 3.2 Possibilistic Clustering for Spherical Data -- 3.3 Possibilistic Clustering for Categorical Multivariate Data -- 4 Numerical Example -- 5 Conclusions -- References -- A Unified Theory of Fuzzy c-Means Clustering Models with Improved Partition -- 1 Introduction -- 2 Background -- 2.1 The Fuzzy c-Means Algorithm -- 2.2 Fuzzy c-Means with Improved Partition -- 2.3 Suppression of Fuzzy c-Means -- 3 The Unified Framework -- 4 Comparative Evaluation -- 5 Conclusions -- References -- Data Mining and Data Privacy -- Effective MVU via Central Prototypes and Kernel Ridge Regression -- 1 Introduction -- 2 Maximum Variance Unfolding -- 3 Selective MVU -- 3.1 Central Prototypes Selection -- 3.2 Complexity of Selective MVU -- 4 Experiments and Results -- 5 Conclusions and Future Extensions -- References -- Cooperative Multi-agent Learning in a Large Dynamic Environment -- 1 Introduction -- 2 Problem Statement -- 3 A Review of the D-DCM-MultiQ Method -- 3.1 Failure to Complete the Hunting Task (Blockage of Learning) -- 3.2 Inappropriate Dynamic Scenario -- 4 Our Proposed Learning Approach for Cooperative Multi-agents Systems in Dynamic Environments -- 4.1 First Proposal: The Action Selection Strategy. 4.2 Second Proposal: The Proposed Learning Method Strategy -- 5 Experiments and Analysis -- 5.1 Impact of Least Recently Visited States on the Selection of the Next State -- 5.2 Impact of Increasing the Number of Agents on Learning Performance -- 6 Conclusion -- References -- Optimized and Parallel Query Processing in Similarity-Based Databases -- 1 Introduction -- 2 Generalized Relational Model of Data -- 3 Query Processing -- 3.1 Compilation -- 3.2 Optimizations -- 4 Parallel Query Processing and Experimental Evaluation -- References -- An Evaluation of Edge Modification Techniques for Privacy-Preserving on Graphs -- 1 Introduction -- 1.1 Our Contributions -- 1.2 Notation -- 1.3 Roadmap -- 2 Edge Modification Techniques -- 3 Evaluating Framework -- 3.1 Tested Networks -- 3.2 Information Loss Measures -- 4 Experimental Results -- 5 Conclusions -- References -- Co-utile Collaborative Anonymization of Microdata -- 1 Introduction -- 1.1 Contribution and Plan of this Paper -- 2 Related Work -- 3 Collaborative Anonymization: Requirements and Justification -- 4 Collaborative k-Anonymity -- 5 Collaborative Masking of Confidential Data -- 6 Conclusions and Future Research -- A k-Anonymity -- B Reverse Mapping -- C Co-utility -- References -- Generalization-Based k-Anonymization -- 1 Introduction -- 2 Preliminaries -- 3 An Algorithm for k-Anonymization -- 4 Experiments -- 5 Conclusions -- References -- Logics -- The Complexity of 3-Valued Łukasiewicz Rules -- 1 Introduction -- 2 Preliminaries -- 3 Complexity of the Satisfiability Problem of 3-Valued Łukasiewicz Rules -- 4 Conclusions -- References -- Information Theory for Subjective Logic -- 1 Introduction -- 2 Ellsberg Paradox -- 3 Opinion Representation in Subjective Logic -- 4 Information Theory -- 5 Pignistic Entropy -- 6 Aggregate Uncertainty Entropy -- 7 Ambiguity Entropy -- 7.1 Belief Entropy. 7.2 Conceivability Entropy -- 8 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910483293503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 9th International Conference, MDAI 2012, Girona, Catalonia, Spain, November 21-23, 2012, Proceedings / / edited by Vincenc Torra, Yasuo Narukawa, Beatriz Lopez, Mateu Villaret
| Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 9th International Conference, MDAI 2012, Girona, Catalonia, Spain, November 21-23, 2012, Proceedings / / edited by Vincenc Torra, Yasuo Narukawa, Beatriz Lopez, Mateu Villaret |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIV, 422 p. 77 illus.) |
| Disciplina | 006.3015118 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Data mining Computer security Information storage and retrieval Numerical analysis Artificial Intelligence Pattern Recognition Data Mining and Knowledge Discovery Systems and Data Security Information Storage and Retrieval Numeric Computing |
| ISBN | 3-642-34620-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | aggregation operators -- integrals, data privacy and security -- reasoning -- applications -- clustering and similarity. |
| Record Nr. | UNISA-996466310403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||