Artificial Intelligence XXXIV [[electronic resource] ] : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIV, 430 p. 148 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Algorithms Artificial Intelligence Computer Appl. in Administrative Data Processing Algorithm Analysis and Problem Complexity |
ISBN | 3-319-71078-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | TECHNICAL STREAM PAPERS -- BEST TECHNICAL PAPER -- Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation -- MACHINE LEARNING AND NEURAL NETWORKS -- Masked Conditional Neural Networks for Environmental Sound Classification -- Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting -- A Blackboard based Hybrid Multi-Agent System for Improving Classification Accuracy using Reinforcement Learning Techniques -- MACHINE LEARNING, SPEECH AND VISION AND FUZZY LOGIC -- Programming Without Program or How To Program in Natural Language Utterances -- Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines -- Measuring Relations between Concepts in Conceptual Spaces -- Towards a Deep reinforcement learning approach for Tower Line Wars -- Improving Modular Classification Rule Induction with G-Prism using Dynamic Rule Term Boundaries -- SHORT TECHNICAL PAPERS -- Inference and discovery in remote sensing data with features extracted using deep networks -- Quantization Error-based Regularization in Neural Networks -- Knowledge Transfer in Neural Language Models -- Emotion Recognition in Text Using PPM -- An experimental comparison of ensemble classifiers for evolving data streams -- A learning automata Local Contribution Sampling applied to hydropower production optimization -- Toward Component Based Self-Adaptive Multi-Strategic Pedagogical Agent -- APPLICATION STREAM PAPERS -- BEST APPLICATION PAPER -- Cable Belief Networks -- AI FOR HEALTHCARE -- Towards the Integration of Prescription Analytics into Health Policy and General Practice -- An Ontology to support Knowledge Management in Behaviour-based Healthcare -- Using Semantic Web technologies to underpin the SNOMED CT query language -- APPLICATIONS OF MACHINE LEARNING -- Feature Level Ensemble Method for Classifying Multi-media Data -- Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes -- Algorithms and Architecture for Real-time Recommendations at News UK -- Customer Contact Journey Prediction -- APPLICATIONS OF NEURAL NETWORKS AND FUZZY LOGIC -- A Better Predictor of Marathon Race Times based on Neural Networks -- Fuzzy Logic Based Personalized Task Recommendation System for Field Services -- Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure -- CASE-BASED REASONING -- Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning -- Predicting Dust Storms Using Hybrid Intelligence System -- AI TECHNIQUES -- Decision support system for green real-life field scheduling problems -- Multi-label Classification of Movie Posters into Genres with Rakel ensemble method -- Parameter Search for a small swarm of AUVs using Particle Swarm Optimisation -- SHORT APPLICATION PAPERS -- Deep learning for classification of bi-lingual ads in online classifieds -- Enhancing Symmetry in GAN Generated Fashion Images -- Predicting Service Levels Using Neural Networks -- Using Machine Learning for Dynamic Multicast Capacity Planning -- Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data. |
Record Nr. | UNISA-996466441703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Artificial Intelligence XXXIV : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIV, 430 p. 148 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Algorithms Artificial Intelligence Computer Appl. in Administrative Data Processing Algorithm Analysis and Problem Complexity |
ISBN | 3-319-71078-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | TECHNICAL STREAM PAPERS -- BEST TECHNICAL PAPER -- Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation -- MACHINE LEARNING AND NEURAL NETWORKS -- Masked Conditional Neural Networks for Environmental Sound Classification -- Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting -- A Blackboard based Hybrid Multi-Agent System for Improving Classification Accuracy using Reinforcement Learning Techniques -- MACHINE LEARNING, SPEECH AND VISION AND FUZZY LOGIC -- Programming Without Program or How To Program in Natural Language Utterances -- Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines -- Measuring Relations between Concepts in Conceptual Spaces -- Towards a Deep reinforcement learning approach for Tower Line Wars -- Improving Modular Classification Rule Induction with G-Prism using Dynamic Rule Term Boundaries -- SHORT TECHNICAL PAPERS -- Inference and discovery in remote sensing data with features extracted using deep networks -- Quantization Error-based Regularization in Neural Networks -- Knowledge Transfer in Neural Language Models -- Emotion Recognition in Text Using PPM -- An experimental comparison of ensemble classifiers for evolving data streams -- A learning automata Local Contribution Sampling applied to hydropower production optimization -- Toward Component Based Self-Adaptive Multi-Strategic Pedagogical Agent -- APPLICATION STREAM PAPERS -- BEST APPLICATION PAPER -- Cable Belief Networks -- AI FOR HEALTHCARE -- Towards the Integration of Prescription Analytics into Health Policy and General Practice -- An Ontology to support Knowledge Management in Behaviour-based Healthcare -- Using Semantic Web technologies to underpin the SNOMED CT query language -- APPLICATIONS OF MACHINE LEARNING -- Feature Level Ensemble Method for Classifying Multi-media Data -- Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes -- Algorithms and Architecture for Real-time Recommendations at News UK -- Customer Contact Journey Prediction -- APPLICATIONS OF NEURAL NETWORKS AND FUZZY LOGIC -- A Better Predictor of Marathon Race Times based on Neural Networks -- Fuzzy Logic Based Personalized Task Recommendation System for Field Services -- Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure -- CASE-BASED REASONING -- Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning -- Predicting Dust Storms Using Hybrid Intelligence System -- AI TECHNIQUES -- Decision support system for green real-life field scheduling problems -- Multi-label Classification of Movie Posters into Genres with Rakel ensemble method -- Parameter Search for a small swarm of AUVs using Particle Swarm Optimisation -- SHORT APPLICATION PAPERS -- Deep learning for classification of bi-lingual ads in online classifieds -- Enhancing Symmetry in GAN Generated Fashion Images -- Predicting Service Levels Using Neural Networks -- Using Machine Learning for Dynamic Multicast Capacity Planning -- Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data. |
Record Nr. | UNINA-9910484056403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence XXXV [[electronic resource] ] : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIV, 454 p. 163 illus., 52 illus. in color.) |
Disciplina | 006.31 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computers Computer communication systems Algorithms Application software Artificial Intelligence Information Systems and Communication Service Computer Communication Networks Algorithm Analysis and Problem Complexity Computer Applications |
ISBN | 3-030-04191-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Neural Networks -- Planning and Scheduling -- Machine Learning -- Industrial Applications of Artificial Intelligence -- Planning and Scheduling in Action -- Machine Learning in Action -- Applications of Machine Learning -- Applications of Agent Systems and Genetic Algorithms. |
Record Nr. | UNISA-996466286603316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Artificial Intelligence XXXV : 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIV, 454 p. 163 illus., 52 illus. in color.) |
Disciplina |
006.31
006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computers Computer communication systems Algorithms Application software Artificial Intelligence Information Systems and Communication Service Computer Communication Networks Algorithm Analysis and Problem Complexity Computer Applications |
ISBN | 3-030-04191-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Neural Networks -- Planning and Scheduling -- Machine Learning -- Industrial Applications of Artificial Intelligence -- Planning and Scheduling in Action -- Machine Learning in Action -- Applications of Machine Learning -- Applications of Agent Systems and Genetic Algorithms. |
Record Nr. | UNINA-9910349391503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence XXXVI [[electronic resource] ] : 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xv, 502 pages) : illustrations |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computers Algorithms Pattern recognition Computer communication systems Artificial Intelligence Information Systems and Communication Service Algorithm Analysis and Problem Complexity Pattern Recognition Computer Communication Networks |
ISBN | 3-030-34885-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466181403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Artificial Intelligence XXXVI : 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xv, 502 pages) : illustrations |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computers Algorithms Pattern perception Computer networks Artificial Intelligence Information Systems and Communication Service Algorithm Analysis and Problem Complexity Pattern Recognition Computer Communication Networks |
ISBN | 3-030-34885-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910364955703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Research and development in intelligent systems XXX : incorporating applications and innovations in intelligent systems XXI : proceedings of AI-2013, the Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence / / Max Bramer, Miltos Petridis, editors |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Cham [Switzerland] : , : Springer, , 2013 |
Descrizione fisica | 1 online resource (xiv, 449 pages) : illustrations (some color) |
Disciplina |
004
006.3 006.312 006.33 |
Collana | Gale eBooks |
Soggetto topico |
Artificial intelligence
Data mining |
ISBN | 3-319-02621-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Research and Development in Intelligent Systems XXX Best Technical Paper -- Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification -- Knowledge Discovery and Data Mining I -- Vertex Unique Labelled Subgraph Mining -- Hierarchical Single Label Classification: An Alternative Approach -- Classification based on Homogeneous Logical Proportions -- Knowledge Discovery and Data Mining II -- Predicting Occupant Locations Using Association Rule Mining -- Contextual Sentiment Analysis in Social Media Using High-Coverage Lexicon -- Profiling Spatial Collectives -- Sentiment Classification using Supervised Sub-Spacing -- Intelligent Agents -- On Applying Adaptive Data Structures to Multi-Player Game Playing -- Anytime Contract Search -- Diagnosing Dependent Action Delays in Temporal Multiagent Plans -- Representation and Reasoning -- Conditional Preference-nets, Possibilistic Logic, and the Transitivity of Priorities -- Using Structural Similarity for Effective Retrieval of Knowledge from Class Diagrams -- Formulating the Temporal Causal Relationships between Events and their Results -- Machine Learning and Constraint Programming -- The Importance of Topology Evolution in NeuroEvolution: A Case Study using Cartesian Genetic Programming of Artificial Neural Networks -- Inferring Context from Users’ Reviews for Context Aware Recommendation -- Constraint Relationships for Soft Constraints -- Short Papers -- A Fuzzy Logic-based Decision Support System for the diagnosis of Arthritis Pain for Rheumatic Fever Patients -- A Viewpoint Approach to Structured Argumentation -- Rule Type Identification using TRCM for Trend Analysis in Twitter -- KNNs and Sequence Alignment for Churn Prediction. Applications and Innovations in Intelligent Systems XXI Best Application Paper -- Knowledge Formalisation for Hydrometallurgical Gold Ore Processing -- Medical Applications -- Extracting and Visualising Clinical Statements from Electronic Health Records -- Evaluation of Machine Learning Techniques in Predicting Acute Coronary Syndrome Outcome -- Applications in Education and Information Science -- An AI-based Process for Generating Games from Flat Stories -- Partridge: An Effective System for the Automatic Classification of the Types of Academic Papers -- Aggregation Semantics for Link Validity -- AI Applications -- Efficient Interactive Budget Planning and Adjusting Under Financial Stress -- ‘The First Day of Summer’: Parsing Temporal Expressions with Distributed Semantics -- Genetic Programming for Wind Power Forecasting and Ramp Detection -- Automated River Segmentation using Simulated Annealing -- Short Papers -- A Multiagent Based Framework for the Simulation of Mammalian Behaviour -- Parameter Estimation of Nonlinear Systems Using Lèvy Flight Cuckoo Search. |
Record Nr. | UNINA-9910437572003321 |
Cham [Switzerland] : , : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Research and Development in Intelligent Systems XXXI : Incorporating Applications and Innovations in Intelligent Systems XXII / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina |
004
006.3 006.312 |
Soggetto topico |
Artificial intelligence
Data mining Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-319-12069-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Research and Development in Intelligent Systems XXXI Best Technical Paper -- On Ontological Expressivity and Modelling Argumentation Schemes using COGUI -- Knowledge Discovery and Data Mining -- Computationally Efficient Rule-Based Classification for Continuous Streaming Data -- Improved Stability of Feature Selection by Combining Instance and Feature Weighting -- Towards a parallel Computationally Efficient Approach to Scaling up Data Stream Classification -- Machine Learning.-Following the Trail of Source Languages in Literary Translations -- Reluctant Reinforcement Learning -- Preference and Sentiment Guided Social Recommendations with Temporal Dynamics -- Agents, Ontologies and Genetic Programming.-Query Failure Explanation in Inconsistent Knowledge Bases: A Dialogical Approach -- Benchmarking Grammar-Based Genetic Programming Algorithms -- The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworld -- Short Papers -- An Autopoietic Repertoire -- De-Risking Fleet Replacement Decisions -- Reliability and Effectiveness of Cross-Validation in Feature Selection -- Self Reinforced Meta Learning for Belief Generation -- Applications and Innovations in Intelligent Systems XXII Best Application Paper -- Combining Semantic Web Technologies with Evolving Fuzzy Classifier eClass for EHR-based Phenotyping: A Feasibility Study -- Evolutionary Algorithms/Dynamic Modelling -- Rail-Freight Crew Scheduling with a Genetic Algorithm -- CR-Modified SOM to the Problem of Handwritten Digits Recognition -- Dynamic Place Profiles from Geo-Folksonomies on the GeoSocial Web -- Planning and Optimisation -- Hierarchical Type-2 Fuzzy Logic Based Real Time Dynamic Operational Planning System -- A Hybrid Algorithm for Solving Gate Assignment Problem with Robustness and Tow Considerations -- An Iterative Heuristics Algorithm for Solving the Integrated Aircraft and Passenger Recovery Problem -- Machine Learning and Data Mining.-A Framework for Brand Reputation Mining and Visualisation -- A Review of Voice Activity Detection Techniques for On - device Isolated Digit Recognition on Mobile Devices -- Short Papers -- Ontology-Based Information Extraction and Reservoir Computing for Topic Detection from Blogosphere's content: A Case Study about BBC Backstage -- A Study on Road Junction Control Method Selection Using an Artificial Intelligent Multi-Criteria Decision Making Framework. |
Record Nr. | UNINA-9910298988503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Research and Development in Intelligent Systems XXXII : Incorporating Applications and Innovations in Intelligent Systems XXIII / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (397 p.) |
Disciplina | 004 |
Soggetto topico |
Artificial intelligence
Data mining Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-319-25032-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Programme Chairs' Introduction; Acknowledgements/Committees; AI-2015 Conference Committee; Technical Executive Programme Committee; Applications Executive Programme Committee; Technical Programme Committee; Application Programme Committee; Contents; Research and Development in Intelligent Systems XXXII; Best Technical Paper; Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies; 1 Introduction; 2 Evolution Strategies; 2.1 Covariance Matrix Adaptation: The Population Covariance; 2.2 Step-Size Adaptation; 3 A Sparse Covariance Matrix Adaptation; 3.1 Space Transformation
3.2 Sparse Covariance Matrix Estimation4 Experiments; 4.1 Test Suite Und Performance Measure; 4.2 Results and Discussion; 5 Conclusions and Outlook; References; Knowledge Discovery and Data Mining; A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests; 1 Introduction; 2 Diversified Random Forests: An Overview; 3 Replicator Dynamics; 4 Applying Replicator Dynamics to an DRF; 5 Experimental Study; 6 Related Work; 7 Conclusion and Future Work; References; A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification; 1 Introduction 2 Literature Review3 Directed Acyclic Graph (DAG) Classification Model Framework; 3.1 DAG Generation; 3.2 DAG Operation; 4 Experiments and Evaluation; 4.1 Comparison Between DAG Approaches; 4.2 Comparison Between Stand-Alone Classification, Bagging, Binary Tree, OVO SVM and DAG Ensemble Classification; 4.3 Note on Efficiency; 5 Conclusion; References; CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests; 1 Introduction; 2 Related Work; 2.1 Diversity Creation Methods; 2.2 Diversity Measures; 3 Proposed Extension: CLUB-DRF; 3.1 Clustering-Based Diverse Random Forest (CLUB-DRF) 3.2 Diversity Measure4 Experimental Study; 4.1 Results; 4.2 Analysis; 4.3 Pruning Level; 4.4 Performance Comparison with Pruned Neural Network Ensemble; 5 Conclusion and Future Directions; References; Machine Learning and Knowledge Acquisition; Fast Handwritten Digit Recognition with Multilayer Ensemble Extreme Learning Machine; 1 Introduction; 2 Problem Definition; 3 Related Work; 3.1 Single Hidden Layer Feedforward Neural Networks; 3.2 Multiple Hidden Layer Feedforward Neural Networks; 3.3 Convolutional Neural Networks; 3.4 Other Approaches; 4 Extreme Learning Machines 4.1 Review of Extreme Learning Machine4.2 Ensemble ELM; 4.3 Multilayer ELM; 4.4 Multilayer Ensemble ELM; 5 Experimental Setup and Evaluation; 6 Conclusion; References; Stylochronometry: Timeline Prediction in Stylometric Analysis; 1 Introduction; 2 Previous Work; 3 Data and Methods; 3.1 Corpora; 3.2 Timeline Compression and Analysis; 4 Experiments; 4.1 Data Preparation; 4.2 Variable Selection and Model Evaluation; 4.3 Results; 5 Discussion; 6 Conclusion; References; 7 Semantic Analysis for Document Similarity and Search Queries; Abstract; 1 Introduction; 2 Previous Research 3 Dream Interpretations |
Record Nr. | UNINA-9910299257603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Research and Development in Intelligent Systems XXXIII : Incorporating Applications and Innovations in Intelligent Systems XXIV / / edited by Max Bramer, Miltos Petridis |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XIV, 397 p. 98 illus.) |
Disciplina | 006.3 |
Soggetto topico |
Artificial intelligence
Data mining Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-319-47175-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910150552003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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