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Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders
| Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XIV, 534 p.) |
| Disciplina | 006.3/3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Mathematical statistics Pattern recognition Information technology Business—Data processing Artificial Intelligence Information Storage and Retrieval Probability and Statistics in Computer Science Pattern Recognition IT in Business |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Probabilistic Latent Clustering of Device Usage -- Condensed Nearest Neighbor Data Domain Description -- Balancing Strategies and Class Overlapping -- Modeling Conditional Distributions of Continuous Variables in Bayesian Networks -- Kernel K-Means for Categorical Data -- Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction -- A Distance-Based Method for Preference Information Retrieval in Paired Comparisons -- Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage -- Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction -- Exploring Hierarchical Rule Systems in Parallel Coordinates -- Bayesian Networks Learning for Gene Expression Datasets -- Pulse: Mining Customer Opinions from Free Text -- Keystroke Analysis of Different Languages: A Case Study -- Combining Bayesian Networks with Higher-Order Data Representations -- Removing Statistical Biases in Unsupervised Sequence Learning -- Learning from Ambiguously Labeled Examples -- Learning Label Preferences: Ranking Error Versus Position Error -- FCLib: A Library for Building Data Analysis and Data Discovery Tools -- A Knowledge-Based Model for Analyzing GSM Network Performance -- Sentiment Classification Using Information Extraction Technique -- Extending the SOM Algorithm to Visualize Word Relationships -- Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization -- Block Clustering of Contingency Table and Mixture Model -- Adaptive Classifier Combination for Visual Information Processing Using Data Context-Awareness -- Self-poised Ensemble Learning -- Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches -- From Local Pattern Mining to Relevant Bi-cluster Characterization -- Machine-Learning with Cellular Automata -- MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data -- Miner Ants Colony: A New Approach to Solve a Mine Planning Problem -- Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs -- Spatial Approach to Pose Variations in Face Verification -- Analysis of Feature Rankings for Classification -- A Mixture Model-Based On-line CEM Algorithm -- Reliable Hierarchical Clustering with the Self-organizing Map -- Statistical Recognition of Noun Phrases in Unrestricted Text -- Successive Restrictions Algorithm in Bayesian Networks -- Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia -- Biological Cluster Validity Indices Based on the Gene Ontology -- An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering -- Dealing with Data Corruption in Remote Sensing -- Regularized Least-Squares for Parse Ranking -- Bayesian Network Classifiers for Time-Series Microarray Data -- Feature Discovery in Classification Problems -- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization -- Detecting Groups of Anomalously Similar Objects in Large Data Sets. |
| Record Nr. | UNISA-996465436103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders
| Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XIV, 534 p.) |
| Disciplina | 006.3/3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Mathematical statistics Pattern recognition Information technology Business—Data processing Artificial Intelligence Information Storage and Retrieval Probability and Statistics in Computer Science Pattern Recognition IT in Business |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Probabilistic Latent Clustering of Device Usage -- Condensed Nearest Neighbor Data Domain Description -- Balancing Strategies and Class Overlapping -- Modeling Conditional Distributions of Continuous Variables in Bayesian Networks -- Kernel K-Means for Categorical Data -- Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction -- A Distance-Based Method for Preference Information Retrieval in Paired Comparisons -- Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage -- Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction -- Exploring Hierarchical Rule Systems in Parallel Coordinates -- Bayesian Networks Learning for Gene Expression Datasets -- Pulse: Mining Customer Opinions from Free Text -- Keystroke Analysis of Different Languages: A Case Study -- Combining Bayesian Networks with Higher-Order Data Representations -- Removing Statistical Biases in Unsupervised Sequence Learning -- Learning from Ambiguously Labeled Examples -- Learning Label Preferences: Ranking Error Versus Position Error -- FCLib: A Library for Building Data Analysis and Data Discovery Tools -- A Knowledge-Based Model for Analyzing GSM Network Performance -- Sentiment Classification Using Information Extraction Technique -- Extending the SOM Algorithm to Visualize Word Relationships -- Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization -- Block Clustering of Contingency Table and Mixture Model -- Adaptive Classifier Combination for Visual Information Processing Using Data Context-Awareness -- Self-poised Ensemble Learning -- Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches -- From Local Pattern Mining to Relevant Bi-cluster Characterization -- Machine-Learning with Cellular Automata -- MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data -- Miner Ants Colony: A New Approach to Solve a Mine Planning Problem -- Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs -- Spatial Approach to Pose Variations in Face Verification -- Analysis of Feature Rankings for Classification -- A Mixture Model-Based On-line CEM Algorithm -- Reliable Hierarchical Clustering with the Self-organizing Map -- Statistical Recognition of Noun Phrases in Unrestricted Text -- Successive Restrictions Algorithm in Bayesian Networks -- Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia -- Biological Cluster Validity Indices Based on the Gene Ontology -- An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering -- Dealing with Data Corruption in Remote Sensing -- Regularized Least-Squares for Parse Ranking -- Bayesian Network Classifiers for Time-Series Microarray Data -- Feature Discovery in Classification Problems -- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization -- Detecting Groups of Anomalously Similar Objects in Large Data Sets. |
| Record Nr. | UNINA-9910483204003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of Natural Computing [[electronic resource] /] / edited by Grzegorz Rozenberg, Thomas Bäck, Joost N. Kok
| Handbook of Natural Computing [[electronic resource] /] / edited by Grzegorz Rozenberg, Thomas Bäck, Joost N. Kok |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (332 illus., 60 illus. in color. eReference.) |
| Disciplina | 006.38 |
| Collana | Springer reference |
| Soggetto topico |
Computers
Computational intelligence Artificial intelligence Quantum computers Spintronics Systems biology Nanotechnology Theory of Computation Computational Intelligence Artificial Intelligence Quantum Information Technology, Spintronics Systems Biology |
| ISBN |
1-78402-699-9
3-540-92910-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483146703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| 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 | ||
| ||
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. | UNINA-9910483839903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||