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Advances in Intelligent Data Analysis XIII [[electronic resource] ] : 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings / / edited by Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti
| Advances in Intelligent Data Analysis XIII [[electronic resource] ] : 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings / / edited by Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 394 p. 125 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-12571-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Malware Phylogenetics Based on the Multiview Graphical Lasso -- Modeling stationary data by a class of generalized Ornstein-Uhlenbeck processes: the Gaussian case -- An approach to controlling the runtime for search based modularization of sequential source code check-ins Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD -- From Sensor Readings to Predictions: on the Process of Developing Practical Soft Sensors -- Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code Ripples -- ApiNATOMY: Towards Multiscale Views of Human Anatomy -- Granularity of co-Evolution Patterns in Dynamic Attributed Graphs -- Multi-user diverse recommendations through greedy vertex-angle maximization -- ERMiner: Sequential Rule Mining using Equivalence Classes -- Mining longitudinal epidemiological data to understand a reversible disorder -- The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction -- Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships -- Modeling daily profiles of solar global radiation using statistical and data mining techniques -- Model-based Time Series Classification -- Fast simultaneous clustering and feature selection for binary data -- Identifying Bilingual Segments for Translation Generation -- Instant Exceptional Model Mining using Weighted Controlled Pattern Sampling -- Resampling approaches to improve news importance prediction -- An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time -- Mining Representative Frequent Patterns in a Hierarchy of Contexts -- A Deep Interpretation of Classifier Chains -- A nonparametric mixture model for personalizing web search -- Widened KRIMP: Better Performance Through Diverse Parallelism -- Finding the Intrinsic Patterns in a Collection of Time Series -- A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries -- Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London -- Detecting Localised Anomalous Behaviour in a Computer Network. |
| Record Nr. | UNISA-996213647303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XIII : 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings / / edited by Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti
| Advances in Intelligent Data Analysis XIII : 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings / / edited by Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 394 p. 125 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-12571-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Malware Phylogenetics Based on the Multiview Graphical Lasso -- Modeling stationary data by a class of generalized Ornstein-Uhlenbeck processes: the Gaussian case -- An approach to controlling the runtime for search based modularization of sequential source code check-ins Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD -- From Sensor Readings to Predictions: on the Process of Developing Practical Soft Sensors -- Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code Ripples -- ApiNATOMY: Towards Multiscale Views of Human Anatomy -- Granularity of co-Evolution Patterns in Dynamic Attributed Graphs -- Multi-user diverse recommendations through greedy vertex-angle maximization -- ERMiner: Sequential Rule Mining using Equivalence Classes -- Mining longitudinal epidemiological data to understand a reversible disorder -- The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction -- Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships -- Modeling daily profiles of solar global radiation using statistical and data mining techniques -- Model-based Time Series Classification -- Fast simultaneous clustering and feature selection for binary data -- Identifying Bilingual Segments for Translation Generation -- Instant Exceptional Model Mining using Weighted Controlled Pattern Sampling -- Resampling approaches to improve news importance prediction -- An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time -- Mining Representative Frequent Patterns in a Hierarchy of Contexts -- A Deep Interpretation of Classifier Chains -- A nonparametric mixture model for personalizing web search -- Widened KRIMP: Better Performance Through Diverse Parallelism -- Finding the Intrinsic Patterns in a Collection of Time Series -- A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries -- Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London -- Detecting Localised Anomalous Behaviour in a Computer Network. |
| Record Nr. | UNINA-9910482965403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inductive Logic Programming [[electronic resource] ] : 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers / / edited by Hendrik Blockeel, Jan Ramon, Jude Shavlik, Prasad Tadepalli
| Inductive Logic Programming [[electronic resource] ] : 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers / / edited by Hendrik Blockeel, Jan Ramon, Jude Shavlik, Prasad Tadepalli |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XI, 307 p.) |
| Disciplina | 005.1/5 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Software engineering Computer programming Mathematical logic Algorithms Data mining Artificial Intelligence Software Engineering/Programming and Operating Systems Programming Techniques Mathematical Logic and Formal Languages Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-540-78469-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Learning with Kernels and Logical Representations -- Beyond Prediction: Directions for Probabilistic and Relational Learning -- Extended Abstracts -- Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract) -- Learning Directed Probabilistic Logical Models Using Ordering-Search -- Learning to Assign Degrees of Belief in Relational Domains -- Bias/Variance Analysis for Relational Domains -- Full Papers -- Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases -- Clustering Relational Data Based on Randomized Propositionalization -- Structural Statistical Software Testing with Active Learning in a Graph -- Learning Declarative Bias -- ILP :- Just Trie It -- Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning -- Empirical Comparison of “Hard” and “Soft” Label Propagation for Relational Classification -- A Phase Transition-Based Perspective on Multiple Instance Kernels -- Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates -- Applying Inductive Logic Programming to Process Mining -- A Refinement Operator Based Learning Algorithm for the Description Logic -- Foundations of Refinement Operators for Description Logics -- A Relational Hierarchical Model for Decision-Theoretic Assistance -- Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming -- Revising First-Order Logic Theories from Examples Through Stochastic Local Search -- Using ILP to Construct Features for Information Extraction from Semi-structured Text -- Mode-Directed Inverse Entailment for Full Clausal Theories -- Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns -- Relational Macros for Transfer in Reinforcement Learning -- Seeing the Forest Through the Trees -- Building Relational World Models for Reinforcement Learning -- An Inductive Learning System for XML Documents. |
| Record Nr. | UNISA-996466245703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Inductive logic programming : 17th international conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007 : revised selected papers / / Hendrick Blockeel ... [et al.] (eds.)
| Inductive logic programming : 17th international conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007 : revised selected papers / / Hendrick Blockeel ... [et al.] (eds.) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (XI, 307 p.) |
| Disciplina | 005.1/5 |
| Altri autori (Persone) | BlockeelHendrik |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science,Lecture notes in artificial intelligence |
| Soggetto topico | Logic programming |
| ISBN | 3-540-78469-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Learning with Kernels and Logical Representations -- Beyond Prediction: Directions for Probabilistic and Relational Learning -- Extended Abstracts -- Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract) -- Learning Directed Probabilistic Logical Models Using Ordering-Search -- Learning to Assign Degrees of Belief in Relational Domains -- Bias/Variance Analysis for Relational Domains -- Full Papers -- Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases -- Clustering Relational Data Based on Randomized Propositionalization -- Structural Statistical Software Testing with Active Learning in a Graph -- Learning Declarative Bias -- ILP :- Just Trie It -- Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning -- Empirical Comparison of “Hard” and “Soft” Label Propagation for Relational Classification -- A Phase Transition-Based Perspective on Multiple Instance Kernels -- Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates -- Applying Inductive Logic Programming to Process Mining -- A Refinement Operator Based Learning Algorithm for the Description Logic -- Foundations of Refinement Operators for Description Logics -- A Relational Hierarchical Model for Decision-Theoretic Assistance -- Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming -- Revising First-Order Logic Theories from Examples Through Stochastic Local Search -- Using ILP to Construct Features for Information Extraction from Semi-structured Text -- Mode-Directed Inverse Entailment for Full Clausal Theories -- Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns -- Relational Macros for Transfer in Reinforcement Learning -- Seeing the Forest Through the Trees -- Building Relational World Models for Reinforcement Learning -- An Inductive Learning System for XML Documents. |
| Record Nr. | UNINA-9910767575603321 |
| Berlin ; ; New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery in Databases: PKDD 2003 [[electronic resource] ] : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
| Knowledge Discovery in Databases: PKDD 2003 [[electronic resource] ] : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XVI, 508 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Mathematical logic Mathematical statistics Database management Information storage and retrieval Data Structures and Information Theory Artificial Intelligence Mathematical Logic and Formal Languages Probability and Statistics in Computer Science Database Management Information Storage and Retrieval |
| ISBN | 3-540-39804-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge -- Two-Eyed Algorithms and Problems -- Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data -- Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions -- Contributed Papers -- Efficient Statistical Pruning of Association Rules -- Majority Classification by Means of Association Rules -- Adaptive Constraint Pushing in Frequent Pattern Mining -- ExAnte: Anticipated Data Reduction in Constrained Pattern Mining -- Minimal k-Free Representations of Frequent Sets -- Discovering Unbounded Episodes in Sequential Data -- Mr-SBC: A Multi-relational Naïve Bayes Classifier -- SMOTEBoost: Improving Prediction of the Minority Class in Boosting -- Using Belief Networks and Fisher Kernels for Structured Document Classification -- A Skeleton-Based Approach to Learning Bayesian Networks from Data -- On Decision Boundaries of Naïve Bayes in Continuous Domains -- Application of Inductive Logic Programming to Structure-Based Drug Design -- Visualizing Class Probability Estimators -- Automated Detection of Epidemics from the Usage Logs of a Physicians’ Reference Database -- An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -- Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications -- Explaining Text Clustering Results Using Semantic Structures -- Analyzing Attribute Dependencies -- Ranking Interesting Subspaces for Clustering High Dimensional Data -- Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases -- Using Transduction and Multi-view Learning to Answer Emails -- Exploring Fringe Settings of SVMs for Classification -- Rule Discovery and Probabilistic Modeling for Onomastic Data -- Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions -- Symbolic Distance Measurements Based on Characteristic Subspaces -- The Pattern Ordering Problem -- Collaborative Filtering Using Restoration Operators -- Efficient Frequent Query Discovery in Farmer -- Towards Behaviometric Security Systems: Learning to Identify a Typist -- Efficient Density Clustering Method for Spatial Data -- Statistical ?-Partition Clustering over Data Streams -- Enriching Relational Learning with Fuzzy Predicates -- Text Categorisation Using Document Profiling -- A Simple Algorithm for Topic Identification in 0–1 Data -- Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents -- Predicting Outliers -- Mining Rules of Multi-level Diagnostic Procedure from Databases -- Learning Characteristic Rules Relying on Quantified Paths -- Topic Learning from Few Examples -- Arbogodaï, a New Approach for Decision Trees. |
| Record Nr. | UNISA-996465799403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Discovery in Databases: PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
| Knowledge Discovery in Databases: PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XVI, 508 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Logic, Symbolic and mathematical Mathematical statistics Database management Information storage and retrieval Data Structures and Information Theory Artificial Intelligence Mathematical Logic and Formal Languages Probability and Statistics in Computer Science Database Management Information Storage and Retrieval |
| ISBN | 3-540-39804-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge -- Two-Eyed Algorithms and Problems -- Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data -- Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions -- Contributed Papers -- Efficient Statistical Pruning of Association Rules -- Majority Classification by Means of Association Rules -- Adaptive Constraint Pushing in Frequent Pattern Mining -- ExAnte: Anticipated Data Reduction in Constrained Pattern Mining -- Minimal k-Free Representations of Frequent Sets -- Discovering Unbounded Episodes in Sequential Data -- Mr-SBC: A Multi-relational Naïve Bayes Classifier -- SMOTEBoost: Improving Prediction of the Minority Class in Boosting -- Using Belief Networks and Fisher Kernels for Structured Document Classification -- A Skeleton-Based Approach to Learning Bayesian Networks from Data -- On Decision Boundaries of Naïve Bayes in Continuous Domains -- Application of Inductive Logic Programming to Structure-Based Drug Design -- Visualizing Class Probability Estimators -- Automated Detection of Epidemics from the Usage Logs of a Physicians’ Reference Database -- An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -- Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications -- Explaining Text Clustering Results Using Semantic Structures -- Analyzing Attribute Dependencies -- Ranking Interesting Subspaces for Clustering High Dimensional Data -- Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases -- Using Transduction and Multi-view Learning to Answer Emails -- Exploring Fringe Settings of SVMs for Classification -- Rule Discovery and Probabilistic Modeling for Onomastic Data -- Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions -- Symbolic Distance Measurements Based on Characteristic Subspaces -- The Pattern Ordering Problem -- Collaborative Filtering Using Restoration Operators -- Efficient Frequent Query Discovery in Farmer -- Towards Behaviometric Security Systems: Learning to Identify a Typist -- Efficient Density Clustering Method for Spatial Data -- Statistical ?-Partition Clustering over Data Streams -- Enriching Relational Learning with Fuzzy Predicates -- Text Categorisation Using Document Profiling -- A Simple Algorithm for Topic Identification in 0–1 Data -- Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents -- Predicting Outliers -- Mining Rules of Multi-level Diagnostic Procedure from Databases -- Learning Characteristic Rules Relying on Quantified Paths -- Topic Learning from Few Examples -- Arbogodaï, a New Approach for Decision Trees. |
| Record Nr. | UNINA-9910768454203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (LIV, 691 p. 198 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Pattern recognition Computer science—Mathematics Mathematical statistics Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Pattern Recognition Discrete Mathematics in Computer Science Probability and Statistics in Computer Science Information Storage and Retrieval |
| ISBN | 3-642-40988-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reinforcement learning -- Markov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. |
| Record Nr. | UNISA-996466041203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XLIV, 693 p. 160 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Pattern recognition Computer science—Mathematics Mathematical statistics Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Pattern Recognition Discrete Mathematics in Computer Science Probability and Statistics in Computer Science Information Storage and Retrieval |
| ISBN | 3-642-40991-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reinforcement learning -- Markov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. |
| Record Nr. | UNISA-996466042203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XLVI, 691 p. 190 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Pattern recognition Computer science—Mathematics Mathematical statistics Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Pattern Recognition Discrete Mathematics in Computer Science Probability and Statistics in Computer Science Information Storage and Retrieval |
| ISBN | 3-642-40994-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reinforcement learning -- Markov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. |
| Record Nr. | UNISA-996466043103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
| Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (LIV, 691 p. 198 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Pattern perception Computer science—Mathematics Mathematical statistics Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Pattern Recognition Discrete Mathematics in Computer Science Probability and Statistics in Computer Science Information Storage and Retrieval |
| ISBN | 3-642-40988-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reinforcement learning -- Markov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. |
| Record Nr. | UNINA-9910483427203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
