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Advances in Artificial Intelligence [[electronic resource] ] : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 Proceedings / / edited by Eleni Stroulia, Stan Matwin
| Advances in Artificial Intelligence [[electronic resource] ] : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 Proceedings / / edited by Eleni Stroulia, Stan Matwin |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 372 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-540-45153-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Case Study for Learning from Imbalanced Data Sets -- A Case Study for Learning from Imbalanced Data Sets -- A Holonic Multi-agent Infrastructure for Electronic Procurement -- A Holonic Multi-agent Infrastructure for Electronic Procurement -- A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property -- A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property -- A Statistical Corpus-Based Term Extractor -- A Statistical Corpus-Based Term Extractor -- Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy -- Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy -- Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search -- Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search -- Concept-Learning in the Presence of Between-Class and Within-Class Imbalances -- Concept-Learning in the Presence of Between-Class and Within-Class Imbalances -- Constraint Programming Lessons Learned from Crossword Puzzles -- Constraint Programming Lessons Learned from Crossword Puzzles -- Constraint-Based Vehicle Assembly Line Sequencing -- Constraint-Based Vehicle Assembly Line Sequencing -- How AI Can Help SE; or: Randomized Search Not Considered Harmful -- How AI Can Help SE; or: Randomized Search Not Considered Harmful -- Imitation and Reinforcement Learning in Agents with Heterogeneous Actions -- Imitation and Reinforcement Learning in Agents with Heterogeneous Actions -- Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study -- Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study -- Learning about Constraints by Reflection -- Learning about Constraints by Reflection -- Learning Bayesian Belief Network Classifiers: Algorithms and System -- Learning Bayesian Belief Network Classifiers: Algorithms and System -- Local Score Computation in Learning Belief networks -- Local Score Computation in Learning Belief networks -- Personalized Contexts in Help Systems -- Personalized Contexts in Help Systems -- QA-LaSIE: A Natural Language Question answering system -- QA-LaSIE: A Natural Language Question answering system -- Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities -- Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities -- Searching for Nacro Operators with Automatically Generated Heuristics -- Searching for Nacro Operators with Automatically Generated Heuristics -- Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem -- Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem -- Stacking for Misclassiffication Cost Performance -- Stacking for Misclassiffication Cost Performance -- Stratified Partial-Order Logic Programming -- Stratified Partial-Order Logic Programming -- The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction -- The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction -- User Interface Aspects of a Translation Typing System -- User Interface Aspects of a Translation Typing System -- Posters -- A Hybrid Approach to Making Recommendations and Its Application to the Movie Domain -- Agents with Genders for Inventory Planning in E-Management -- Agents with Genders for Inventory Planning in E-Management -- Évaluation d’un Système pour le Résumé Automatique de Documents ÉLectroniques -- Évaluation d’un Système pour le Résumé Automatique de Documents ÉLectroniques -- On Obligations, Relativised Obligations, and Bilateral Commitments -- On Obligations, Relativised Obligations, and Bilateral Commitments -- Question Answering Using Unification-Based Grammar -- Question Answering Using Unification-Based Grammar -- Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm -- Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm -- The Bottom-Up Freezing: An Approach to Neural Engineering -- The Bottom-Up Freezing: An Approach to Neural Engineering -- The Design and Implementation of an Electronic Lexical Knowledge Base -- The Design and Implementation of an Electronic Lexical Knowledge Base -- Towards a Temporal Extension of Formal Concept analysis -- Towards a Temporal Extension of Formal Concept analysis -- Graduate Symposium Contributions -- Adaptive Representation Methods for Reinforcement Learning -- Imprecise and Uncertain REngineering Information Modeling in Databases -- Incremental Case-Based Reasoning for Classification -- Incremental Case-Based Reasoning for Classification -- Planning Animations Using Cinematography Knowledge -- Planning Animations Using Cinematography Knowledge -- Watching You, Watching Me -- Watching You, Watching Me. |
| Record Nr. | UNISA-996465901203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Artificial Intelligence : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 Proceedings / / edited by Eleni Stroulia, Stan Matwin
| Advances in Artificial Intelligence : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 Proceedings / / edited by Eleni Stroulia, Stan Matwin |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 372 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-540-45153-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Case Study for Learning from Imbalanced Data Sets -- A Case Study for Learning from Imbalanced Data Sets -- A Holonic Multi-agent Infrastructure for Electronic Procurement -- A Holonic Multi-agent Infrastructure for Electronic Procurement -- A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property -- A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property -- A Statistical Corpus-Based Term Extractor -- A Statistical Corpus-Based Term Extractor -- Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy -- Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy -- Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search -- Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search -- Concept-Learning in the Presence of Between-Class and Within-Class Imbalances -- Concept-Learning in the Presence of Between-Class and Within-Class Imbalances -- Constraint Programming Lessons Learned from Crossword Puzzles -- Constraint Programming Lessons Learned from Crossword Puzzles -- Constraint-Based Vehicle Assembly Line Sequencing -- Constraint-Based Vehicle Assembly Line Sequencing -- How AI Can Help SE; or: Randomized Search Not Considered Harmful -- How AI Can Help SE; or: Randomized Search Not Considered Harmful -- Imitation and Reinforcement Learning in Agents with Heterogeneous Actions -- Imitation and Reinforcement Learning in Agents with Heterogeneous Actions -- Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study -- Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study -- Learning about Constraints by Reflection -- Learning about Constraints by Reflection -- Learning Bayesian Belief Network Classifiers: Algorithms and System -- Learning Bayesian Belief Network Classifiers: Algorithms and System -- Local Score Computation in Learning Belief networks -- Local Score Computation in Learning Belief networks -- Personalized Contexts in Help Systems -- Personalized Contexts in Help Systems -- QA-LaSIE: A Natural Language Question answering system -- QA-LaSIE: A Natural Language Question answering system -- Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities -- Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities -- Searching for Nacro Operators with Automatically Generated Heuristics -- Searching for Nacro Operators with Automatically Generated Heuristics -- Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem -- Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem -- Stacking for Misclassiffication Cost Performance -- Stacking for Misclassiffication Cost Performance -- Stratified Partial-Order Logic Programming -- Stratified Partial-Order Logic Programming -- The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction -- The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction -- User Interface Aspects of a Translation Typing System -- User Interface Aspects of a Translation Typing System -- Posters -- A Hybrid Approach to Making Recommendations and Its Application to the Movie Domain -- Agents with Genders for Inventory Planning in E-Management -- Agents with Genders for Inventory Planning in E-Management -- Évaluation d’un Système pour le Résumé Automatique de Documents ÉLectroniques -- Évaluation d’un Système pour le Résumé Automatique de Documents ÉLectroniques -- On Obligations, Relativised Obligations, and Bilateral Commitments -- On Obligations, Relativised Obligations, and Bilateral Commitments -- Question Answering Using Unification-Based Grammar -- Question Answering Using Unification-Based Grammar -- Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm -- Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm -- The Bottom-Up Freezing: An Approach to Neural Engineering -- The Bottom-Up Freezing: An Approach to Neural Engineering -- The Design and Implementation of an Electronic Lexical Knowledge Base -- The Design and Implementation of an Electronic Lexical Knowledge Base -- Towards a Temporal Extension of Formal Concept analysis -- Towards a Temporal Extension of Formal Concept analysis -- Graduate Symposium Contributions -- Adaptive Representation Methods for Reinforcement Learning -- Imprecise and Uncertain REngineering Information Modeling in Databases -- Incremental Case-Based Reasoning for Classification -- Incremental Case-Based Reasoning for Classification -- Planning Animations Using Cinematography Knowledge -- Planning Animations Using Cinematography Knowledge -- Watching You, Watching Me -- Watching You, Watching Me. |
| Record Nr. | UNINA-9910143603603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Challenges in Computational Statistics and Data Mining / / edited by Stan Matwin, Jan Mielniczuk
| Challenges in Computational Statistics and Data Mining / / edited by Stan Matwin, Jan Mielniczuk |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 399 p. 73 illus., 3 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Data mining Statistics Artificial intelligence Computational Intelligence Data Mining and Knowledge Discovery Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial Intelligence |
| ISBN | 3-319-18781-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computation for Real-world Problems -- Selection of Significant Features Using Monte Carlo Feature Selection -- ADX Algorithm for Supervised Classification -- Estimation of Entropy from Subword Complexity -- Exact Rates of Convergence of Kernel-based Classification Rule -- Compound Bipolar Queries: a Step Towards an Enhanced Human Consistency and Human Friendliness -- Process Inspection by Attributes Using Predicted Data -- Székely Regularization for Uplift Modeling -- Dominance-Based Rough Set Approach to Multiple Criterion Ranking with Sorting-specific Preference Information -- On things not Seen -- Network Capacity Bound for Personalized Bipartite Page Rank -- Dependence Factor as a Rule Evaluation Measure -- Recent Results on Quantlie Estimation Methods in Simulation Model -- Adaptive Monte Carlo Maximum Likelihood -- What Do we Choose when we Err? Model Selection and Testing for Misspecified Logistic Regression Revisited -- Semiparametric Inference Identification of Block-oriented Systems -- Dealing with Data Difficulty Factors While Learning from Imbalanced Data -- Privacy Protection in a Time of Big Data -- Data Based Modeling. |
| Record Nr. | UNINA-9910254212903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Discovery Science [[electronic resource] ] : 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings / / edited by Nathalie Japkowicz, Stan Matwin
| Discovery Science [[electronic resource] ] : 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings / / edited by Nathalie Japkowicz, Stan Matwin |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XV, 342 p. 96 illus. in color.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Database management Algorithms Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-24282-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bilinear Prediction using Low Rank Models -- Finding Hidden Structure in Data with Tensor Decompositions -- Turning Prediction Tools Into Decision Tools -- Overcoming obstacles to the adoption of machine learning by domain Experts -- Resolution transfer in cancer classification based on amplification patterns -- Very Short-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning -- Discovery of Parameters for Animation of Midge Swarms -- No Sentiment is an Island: Author's activity and sentiments transactions in sentiment classification -- Active Learning for Classifying Template Matches in Historical Maps -- An evaluation of score descriptors combined with non-linear models of expressive dynamics in music -- Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis -- Generalized Shortest Path Kernel on Graphs -- Ensembles of extremely randomized trees for multi-target regression -- Clustering-Based Optimised Probabilistic Active Learning (COPAL) -- Predictive Analysis on Tracking Emails for Targeted Marketing -- Semi-supervised Learning for Stream Recommender Systems -- Detecting Transmembrane Proteins Using Decision Trees -- Change point detection for information diffusion tree -- Multi-label Classification via Multi-target Regression on Data Streams -- Periodical Skeletonization for Partially Periodic Pattern Mining -- Predicting Drugs Adverse Side-Effects using a recommender-system -- Dr. Inventor Framework: extracting structured information from scientific publications -- Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel -- Hierarchical Multidimensional Classification of web documents with MultiWebClass -- Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets -- On the Feasibility of Discovering Meta-Patterns from a Data Ensemble -- An Algorithm for Influence Maximization in a Two-Terminal Series -- Parallel Graph and Its Application to a Real Network -- Benchmarking Stream Clustering for Churn Detection in Dynamic Networks -- Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface -- KeCo: Kernel-based Online Co-agreement Algorithm -- Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees -- Enumerating Maximal Clique Sets with Pseudo-Clique Constraint. |
| Record Nr. | UNISA-996466318903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Discovery Science : 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings / / edited by Nathalie Japkowicz, Stan Matwin
| Discovery Science : 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings / / edited by Nathalie Japkowicz, Stan Matwin |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XV, 342 p. 96 illus. in color.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Information storage and retrieval Database management Algorithms Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-24282-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bilinear Prediction using Low Rank Models -- Finding Hidden Structure in Data with Tensor Decompositions -- Turning Prediction Tools Into Decision Tools -- Overcoming obstacles to the adoption of machine learning by domain Experts -- Resolution transfer in cancer classification based on amplification patterns -- Very Short-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning -- Discovery of Parameters for Animation of Midge Swarms -- No Sentiment is an Island: Author's activity and sentiments transactions in sentiment classification -- Active Learning for Classifying Template Matches in Historical Maps -- An evaluation of score descriptors combined with non-linear models of expressive dynamics in music -- Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis -- Generalized Shortest Path Kernel on Graphs -- Ensembles of extremely randomized trees for multi-target regression -- Clustering-Based Optimised Probabilistic Active Learning (COPAL) -- Predictive Analysis on Tracking Emails for Targeted Marketing -- Semi-supervised Learning for Stream Recommender Systems -- Detecting Transmembrane Proteins Using Decision Trees -- Change point detection for information diffusion tree -- Multi-label Classification via Multi-target Regression on Data Streams -- Periodical Skeletonization for Partially Periodic Pattern Mining -- Predicting Drugs Adverse Side-Effects using a recommender-system -- Dr. Inventor Framework: extracting structured information from scientific publications -- Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel -- Hierarchical Multidimensional Classification of web documents with MultiWebClass -- Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets -- On the Feasibility of Discovering Meta-Patterns from a Data Ensemble -- An Algorithm for Influence Maximization in a Two-Terminal Series -- Parallel Graph and Its Application to a Real Network -- Benchmarking Stream Clustering for Churn Detection in Dynamic Networks -- Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface -- KeCo: Kernel-based Online Co-agreement Algorithm -- Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees -- Enumerating Maximal Clique Sets with Pseudo-Clique Constraint. |
| Record Nr. | UNINA-9910483133503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Foundations of Intelligent Systems [[electronic resource] ] : 17th International Symposium, ISMIS 2008 Toronto, Canada, May 20-23, 2008 Proceedings / / edited by Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak
| Foundations of Intelligent Systems [[electronic resource] ] : 17th International Symposium, ISMIS 2008 Toronto, Canada, May 20-23, 2008 Proceedings / / edited by Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XVII, 653 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
User interfaces (Computer systems) Computer engineering Data mining Application software Database management Artificial Intelligence User Interfaces and Human Computer Interaction Computer Engineering Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Database Management |
| ISBN | 3-540-68123-X |
| Classificazione | 54.72 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- From Goals to High-Variability Software Design -- Exploring the Power of Heuristics and Links in Multi-relational Data Mining -- Intelligent Software Engineering Tools for NASA’s Crew Exploration Vehicle -- Knowledge Discovery and Data Mining - Foundations -- Boosting Support Vector Machines for Imbalanced Data Sets -- Class-Oriented Reduction of Decision Tree Complexity -- Evaluating Decision Trees Grown with Asymmetric Entropies -- Stepwise Induction of Logistic Model Trees -- Stochastic Propositionalization for Efficient Multi-relational Learning -- Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient -- Knowledge Discovery and Data Mining - Advances -- Obtaining Low-Arity Discretizations from Online Data Streams -- Maps Ensemble for Semi-Supervised Learning of Large High Dimensional Datasets -- Mining Induced and Embedded Subtrees in Ordered, Unordered, and Partially-Ordered Trees -- A Structure-Based Clustering on LDAP Directory Information -- iZi: A New Toolkit for Pattern Mining Problems -- A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases -- LAREDAM – Considerations on System of Local Analytical Reports from Data Mining -- Outlier Detection Techniques for Process Mining Applications -- Knowledge Discovery and Data Mining - Mining Changes and Actionable Patterns -- Action Rule Extraction from a Decision Table: ARED -- Discovering the Concise Set of Actionable Patterns -- Discovering Emerging Patterns for Anomaly Detection in Network Connection Data -- Temporal Extrapolation within a Static Clustering -- Discovering Explanations from Longitudinal Data -- Logic for Artificial Intelligence -- Reduced Implicate/Implicant Tries -- Golden Ratio Annealing for Satisfiability Problems Using Dynamically Cooling Schemes -- Modeling Cooperation in P2P Data Management Systems -- Interactions between Rough Parts in Object Perception -- Autonomic and Evolutionary Computation -- A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time -- Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach -- Self-calibrating Strategies for Evolutionary Approaches that Solve Constrained Combinatorial Problems -- Soft Computing -- Towards Fuzzy Query Answering Using Fuzzy Views – A Graded-Subsumption-Based Approach -- Term Distribution-Based Initialization of Fuzzy Text Clustering -- Cooperative Answering to Flexible Queries Via a Tolerance Relation -- Effectiveness of Fuzzy Discretization for Class Association Rule-Based Classification -- Towards a Crisp Representation of Fuzzy Description Logics under ?ukasiewicz Semantics -- Rough Set Approximations in Formal Concept Analysis and Knowledge Spaces -- An Ant Colony System Algorithm to Solve Routing Problems Applied to the Delivery of Bottled Products -- Databases and Data Warehouses -- Predicate Indexing for Incremental Multi-Query Optimization -- SQL Queries with CASE Expressions -- Top-Down Compression of Data Cubes in the Presence of Simultaneous Multiple Hierarchical Range Queries -- Degrees of Exclusivity in Disjunctive Databases -- The Ramification Problem in Temporal Databases: A Solution Implemented in SQL -- Digital Library -- Image Databases Browsing by Unsupervised Learning -- Decision Tree Induction for Identifying Trends in Line Graphs -- Automatic Handling of Digital Image Repositories: A Brief Survey -- Development of the XML Digital Library from the Parliament of Andalucía for Intelligent Structured Retrieval -- Intelligent Information Retrieval -- Evaluating Information Retrieval System Performance Based on Multi-grade Relevance -- A Dynamic Window Based Passage Extraction Algorithm for Genomics Information Retrieval -- Mining Scalar Representations in a Non-tagged Music Database -- Identification of Dominating Instrument in Mixes of Sounds of the Same Pitch -- Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval -- Combining Multiple Sources of Evidence in Web Information Extraction -- Text Mining -- Autonomous News Clustering and Classification for an Intelligent Web Portal -- On Determining the Optimal Partition in Agglomerative Clustering of Documents -- Ontological Summaries through Hierarchical Clustering -- Classification of Web Services Using Tensor Space Model and Rough Ensemble Classifier -- Intelligent Information Systems -- Agent-Based Assistant for e-Negotiations -- Local Soft Belief Updating for Relational Classification -- On a Probabilistic Combination of Prediction Sources -- Effective Document-Oriented Telemetry Data Compression -- Knowledge Representation and Integration -- Improving Integration with Subjective Combining of Ontology Mappings -- Text Onto Miner – A Semi Automated Ontology Building System -- Ontology-Driven Adaptive Medical Information Collection System -- An Effective Ontology Matching Technique -- A Causal Approach for Explaining Why a Heuristic Algorithm Outperforms Another in Solving an Instance Set of the Bin Packing Problem -- Web Service and Intelligence -- A Graph b-Coloring Based Method for Composition-Oriented Web Services Classification -- OWL-S Atomic Services Composition with SWRL Rules -- A Web-Based Interface for Hiding Bayesian Network Inference -- Applications -- Extraction of Informative Genes from Integrated Microarray Data -- Using Data Mining for Dynamic Level Design in Games -- A Logic Programming Based Framework for Security Protocol Verification -- Applying Cost Sensitive Feature Selection in an Electric Database. |
| Record Nr. | UNISA-996465592303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Inductive Logic Programming [[electronic resource] ] : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut
| Inductive Logic Programming [[electronic resource] ] : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (X, 358 p.) |
| Disciplina | 005.1/15 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Software engineering
Artificial intelligence Computer science Computer programming Algorithms Mathematical logic Software Engineering/Programming and Operating Systems Artificial Intelligence Computer Science, general Programming Techniques Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages |
| ISBN | 3-540-36468-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. |
| Record Nr. | UNISA-996465274403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Inductive Logic Programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut
| Inductive Logic Programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (X, 358 p.) |
| Disciplina | 005.1/15 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Software engineering
Artificial intelligence Computer science Computer programming Algorithms Logic, Symbolic and mathematical Software Engineering/Programming and Operating Systems Artificial Intelligence Computer Science, general Programming Techniques Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages |
| ISBN | 3-540-36468-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. |
| Record Nr. | UNINA-9910143883103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery in Databases: PKDD 2007 [[electronic resource] ] : 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings / / edited by Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic
| Knowledge Discovery in Databases: PKDD 2007 [[electronic resource] ] : 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings / / edited by Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (XXIV, 644 p.) |
| Disciplina | 005.74 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Database management Information storage and retrieval Mathematical statistics Natural language processing (Computer science) Data Structures and Information Theory Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Natural Language Processing (NLP) |
| ISBN | 3-540-74976-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Learning, Information Extraction and the Web -- Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation -- Mining Queries -- Adventures in Personalized Information Access -- Long Papers -- Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning -- Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction -- A Graphical Model for Content Based Image Suggestion and Feature Selection -- Efficient AUC Optimization for Classification -- Finding Transport Proteins in a General Protein Database -- Classification of Web Documents Using a Graph-Based Model and Structural Patterns -- Context-Specific Independence Mixture Modelling for Protein Families -- An Algorithm to Find Overlapping Community Structure in Networks -- Privacy Preserving Market Basket Data Analysis -- Feature Extraction from Sensor Data Streams for Real-Time Human Behaviour Recognition -- Generating Social Network Features for Link-Based Classification -- An Empirical Comparison of Exact Nearest Neighbour Algorithms -- Site-Independent Template-Block Detection -- Statistical Model for Rough Set Approach to Multicriteria Classification -- Classification of Anti-learnable Biological and Synthetic Data -- Improved Algorithms for Univariate Discretization of Continuous Features -- Efficient Weight Learning for Markov Logic Networks -- Classification in Very High Dimensional Problems with Handfuls of Examples -- Domain Adaptation of Conditional Probability Models Via Feature Subsetting -- Learning to Detect Adverse Traffic Events from Noisily Labeled Data -- IKNN: Informative K-Nearest Neighbor Pattern Classification -- Finding Outlying Items in Sets of Partial Rankings -- Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering -- A Comparison of Two Approaches to Classify with Guaranteed Performance -- Towards Data Mining Without Information on Knowledge Structure -- Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling -- Bridged Refinement for Transfer Learning -- A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV3 -- Short Papers -- Flexible Grid-Based Clustering -- Polyp Detection in Endoscopic Video Using SVMs -- A Density-Biased Sampling Technique to Improve Cluster Representativeness -- Expectation Propagation for Rating Players in Sports Competitions -- Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract) -- Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach -- Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket Databases -- Learning Multi-dimensional Functions: Gas Turbine Engine Modeling -- Constructing High Dimensional Feature Space for Time Series Classification -- A Dynamic Clustering Algorithm for Mobile Objects -- A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions -- MINI: Mining Informative Non-redundant Itemsets -- Stream-Based Electricity Load Forecast -- Automatic Hidden Web Database Classification -- Pruning Relations for Substructure Discovery of Multi-relational Databases -- The Most Reliable Subgraph Problem -- Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains -- Searching for Better Randomized Response Schemes for Privacy-Preserving Data Mining -- Pre-processing Large Spatial Data Sets with Bayesian Methods -- Tag Recommendations in Folksonomies -- Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned Data -- Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework -- Multilevel Conditional Fuzzy C-Means Clustering of XML Documents -- Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder -- Real Time GPU-Based Fuzzy ART Skin Recognition -- A Cooperative Game Theoretic Approach to Prototype Selection -- Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals -- Robust Visual Mining of Data with Error Information -- An Effective Approach to Enhance Centroid Classifier for Text Categorization -- Automatic Categorization of Human-Coded and Evolved CoreWar Warriors -- Utility-Based Regression -- Multi-label Lazy Associative Classification -- Visual Exploration of Genomic Data -- Association Mining in Large Databases: A Re-examination of Its Measures -- Semantic Text Classification of Emergent Disease Reports. |
| Record Nr. | UNISA-996465625703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Multiple-Aspect Analysis of Semantic Trajectories [[electronic resource] ] : First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings / / edited by Konstantinos Tserpes, Chiara Renso, Stan Matwin
| Multiple-Aspect Analysis of Semantic Trajectories [[electronic resource] ] : First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings / / edited by Konstantinos Tserpes, Chiara Renso, Stan Matwin |
| Autore | Tserpes Konstantinos |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (IX, 133 p. 93 illus., 47 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Machine learning
Application software Optical data processing Machine Learning Computer Applications Image Processing and Computer Vision |
| Soggetto non controllato |
Computer science
Machine learning Application software Optical data processing |
| ISBN | 3-030-38081-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning from our Movements - The Mobility Data Analytics Era -- Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection -- Nowcasting Unemployment Rates with Smartphone GPS data -- Online long-term trajectory prediction based on mined route patterns -- EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data -- Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams -- Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning -- A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction -- Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations. |
| Record Nr. | UNINA-9910372743203321 |
Tserpes Konstantinos
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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