Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
| Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIII, 418 p.) |
| Disciplina | 006.31222gerDNB |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computers
Information storage and retrieval Data mining Pattern recognition Data structures (Computer science) Information technology Business—Data processing Theory of Computation Information Storage and Retrieval Data Mining and Knowledge Discovery Pattern Recognition Data Structures IT in Business |
| Soggetto genere / forma |
Kongress.
Lyon (2008) |
| ISBN | 3-642-03915-4 |
| Classificazione |
DAT 703f
MAT 620f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. |
| Record Nr. | UNISA-996465760203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in intelligent data analysis VIII : 8th international symposium on intelligent data analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings / / Niall M. Adams, Celine Robardet, Arno Siebes, Jean-Francois Boulicaut (eds.)
| Advances in intelligent data analysis VIII : 8th international symposium on intelligent data analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings / / Niall M. Adams, Celine Robardet, Arno Siebes, Jean-Francois Boulicaut (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, 2009 |
| Descrizione fisica | 1 online resource (XIII, 418 p.) |
| Disciplina | 006.31222gerDNB |
| Altri autori (Persone) |
AdamsNiall M. <1968->
RobardetCeline SiebesArno BoulicautJean-Francois |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Mathematical statistics - Data processing
Expert systems (Computer science) |
| ISBN | 3-642-03915-4 |
| Classificazione |
DAT 703f
MAT 620f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. |
| Record Nr. | UNINA-9910483134103321 |
| Berlin ; ; Heidelberg, : Springer-Verlag, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Data Analysis XII [[electronic resource] ] : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
| Advances in Intelligent Data Analysis XII [[electronic resource] ] : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 464 p. 140 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 | 3-642-41398-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead -- Computational Techniques for Crop Disease Monitoring in the Developing World -- Subjective Interestingness in Exploratory Data Mining -- Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures -- Detecting Events in Molecular Dynamics Simulations -- Graph Clustering by Maximizing Statistical Association Measures -- Evaluation of Association Rule Quality Measures through Feature Extraction -- Towards Comprehensive Concept Description Based on Association Rules -- CD-MOA: Change Detection Framework for Massive Online Analysis -- Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks -- Finding Frequent Patterns in Parallel Point Processes -- Behavioral Clustering for Point Processes -- Estimating Prediction Certainty in Decision Trees -- Interactive Discovery of Interesting Subgroup Sets -- Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation -- When Does Active Learning Work -- Order Span: Mining Closed Partially Ordered Patterns -- Learning Multiple Temporal Matching for Time Series Classification -- On the Importance of Nonlinear Modeling in Computer Performance Prediction -- Diversity-Driven Widening -- Towards Indexing of Web3D Signing Avatars -- Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset -- Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks -- 1d-SAX: A Novel Symbolic Representation for Time Series -- Learning Models of Activities Involving Interacting Objects -- Correcting the Usage of the Hoeffding Inequality in Stream Mining -- Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors -- The Modeling of Glaucoma Progression through the Use of Cellular Automata -- Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices -- Gaussian Topographic Co-clustering Model -- Preventing Churn in Telecommunications: The Forgotten Network -- Computational Properties of Fiction Writing and Collaborative Work -- Classifier Evaluation with Missing Negative Class Labels -- Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning -- Accurate Visual Features for Automatic Tag Correction in Videos -- Ontology Database System and Triggers -- A Policy Iteration Algorithm for Learning from Preference-Based Feedback -- Multiclass Learning from Multiple Uncertain Annotations -- Learning Compositional Hierarchies of a Sensorimotor System. |
| Record Nr. | UNISA-996465478103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
| Advances in Intelligent Data Analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 464 p. 140 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 | 3-642-41398-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead -- Computational Techniques for Crop Disease Monitoring in the Developing World -- Subjective Interestingness in Exploratory Data Mining -- Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures -- Detecting Events in Molecular Dynamics Simulations -- Graph Clustering by Maximizing Statistical Association Measures -- Evaluation of Association Rule Quality Measures through Feature Extraction -- Towards Comprehensive Concept Description Based on Association Rules -- CD-MOA: Change Detection Framework for Massive Online Analysis -- Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks -- Finding Frequent Patterns in Parallel Point Processes -- Behavioral Clustering for Point Processes -- Estimating Prediction Certainty in Decision Trees -- Interactive Discovery of Interesting Subgroup Sets -- Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation -- When Does Active Learning Work -- Order Span: Mining Closed Partially Ordered Patterns -- Learning Multiple Temporal Matching for Time Series Classification -- On the Importance of Nonlinear Modeling in Computer Performance Prediction -- Diversity-Driven Widening -- Towards Indexing of Web3D Signing Avatars -- Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset -- Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks -- 1d-SAX: A Novel Symbolic Representation for Time Series -- Learning Models of Activities Involving Interacting Objects -- Correcting the Usage of the Hoeffding Inequality in Stream Mining -- Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors -- The Modeling of Glaucoma Progression through the Use of Cellular Automata -- Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices -- Gaussian Topographic Co-clustering Model -- Preventing Churn in Telecommunications: The Forgotten Network -- Computational Properties of Fiction Writing and Collaborative Work -- Classifier Evaluation with Missing Negative Class Labels -- Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning -- Accurate Visual Features for Automatic Tag Correction in Videos -- Ontology Database System and Triggers -- A Policy Iteration Algorithm for Learning from Preference-Based Feedback -- Multiclass Learning from Multiple Uncertain Annotations -- Learning Compositional Hierarchies of a Sensorimotor System. |
| Record Nr. | UNINA-9910483029703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Data Analysis XVII [[electronic resource] ] : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen
| Advances in Intelligent Data Analysis XVII [[electronic resource] ] : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 394 p. 133 illus.) |
| Disciplina | 006.4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Artificial intelligence Computers Application software Database Management Artificial Intelligence Information Systems and Communication Service Computer Applications |
| ISBN | 3-030-01768-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elements of an Automatic Data Scientist -- The Need for Interpretability Biases Open Data Science -- Automatic POI Matching Using an Outlier Detection Based Approach -- Fact Checking from Natural Text with Probabilistic Soft Logic -- ConvoMap: Using Convolution to Order Boolean Data -- Training Neural Networks to distinguish craving smokers, non-craving smokers, and non-smokers -- Missing Data Imputation via Denoising Autoencoders: the untold story -- Online Non-Linear Gradient Boosting in Multi-Latent Spaces -- MDP-based Itinerary Recommendation using Geo-Tagged Social Media -- Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization -- Non-Negative Local Sparse Coding for Subspace Clustering -- Pushing the Envelope in Overlapping Communities Detection.-Right for the Right Reason: Training Agnostic Networks -- Link Prediction in Multi-Layer Networks and its Application to Drug Design -- A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis -- Analysing the footprint of classi_ers in overlapped and imbalanced contexts -- Tree-based Cost Sensitive Methods for Fraud Detection in Imbalanced Data -- Reduction Stumps for Multi-Class Classification -- Decomposition of quantitative Gaifman graphs as a data analysis tool -- Exploring the Effects of Data Distribution in Missing Data Imputation -- Communication-free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors -- Expert finding in Citizen Science platform for biodiversity monitoring via weighted PageRank algorithm -- Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.-Don't Rule Out Simple Models Prematurely: a Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML -- Detecting Shifts in Public Opinion: a big data study of global news content -- Biased Embeddings from Wild Data: Measuring, Understanding and Removing -- Real-Time Excavation Detection at Construction Sites using Deep Learning -- COBRAS: Interactive Clustering with Pairwise Queries -- Automatically Wrangling Spreadsheets into Machine Learning Data Formats -- Learned Feature Generation for Molecules. |
| Record Nr. | UNISA-996466327903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen
| Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 394 p. 133 illus.) |
| Disciplina | 006.4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Artificial intelligence Computers Application software Database Management Artificial Intelligence Information Systems and Communication Service Computer Applications |
| ISBN | 3-030-01768-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elements of an Automatic Data Scientist -- The Need for Interpretability Biases Open Data Science -- Automatic POI Matching Using an Outlier Detection Based Approach -- Fact Checking from Natural Text with Probabilistic Soft Logic -- ConvoMap: Using Convolution to Order Boolean Data -- Training Neural Networks to distinguish craving smokers, non-craving smokers, and non-smokers -- Missing Data Imputation via Denoising Autoencoders: the untold story -- Online Non-Linear Gradient Boosting in Multi-Latent Spaces -- MDP-based Itinerary Recommendation using Geo-Tagged Social Media -- Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization -- Non-Negative Local Sparse Coding for Subspace Clustering -- Pushing the Envelope in Overlapping Communities Detection.-Right for the Right Reason: Training Agnostic Networks -- Link Prediction in Multi-Layer Networks and its Application to Drug Design -- A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis -- Analysing the footprint of classi_ers in overlapped and imbalanced contexts -- Tree-based Cost Sensitive Methods for Fraud Detection in Imbalanced Data -- Reduction Stumps for Multi-Class Classification -- Decomposition of quantitative Gaifman graphs as a data analysis tool -- Exploring the Effects of Data Distribution in Missing Data Imputation -- Communication-free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors -- Expert finding in Citizen Science platform for biodiversity monitoring via weighted PageRank algorithm -- Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.-Don't Rule Out Simple Models Prematurely: a Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML -- Detecting Shifts in Public Opinion: a big data study of global news content -- Biased Embeddings from Wild Data: Measuring, Understanding and Removing -- Real-Time Excavation Detection at Construction Sites using Deep Learning -- COBRAS: Interactive Clustering with Pairwise Queries -- Automatically Wrangling Spreadsheets into Machine Learning Data Formats -- Learned Feature Generation for Molecules. |
| Record Nr. | UNINA-9910349402403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery in Inductive Databases [[electronic resource] ] : Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers / / edited by Arno Siebes
| Knowledge Discovery in Inductive Databases [[electronic resource] ] : Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers / / edited by Arno Siebes |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (VIII, 200 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Artificial intelligence Database Management Artificial Intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper -- Models and Indices for Integrating Unstructured Data with a Relational Database -- Contributed Papers -- Constraint Relaxations for Discovering Unknown Sequential Patterns -- Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data -- Theoretical Bounds on the Size of Condensed Representations -- Mining Interesting XML-Enabled Association Rules with Templates -- Database Transposition for Constrained (Closed) Pattern Mining -- An Efficient Algorithm for Mining String Databases Under Constraints -- An Automata Approach to Pattern Collections -- Implicit Enumeration of Patterns -- Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures. |
| Record Nr. | UNISA-996465686203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Local Pattern Detection [[electronic resource] ] : International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers / / edited by Katharina Morik, Jean-Francois Boulicaut, Arno Siebes
| Local Pattern Detection [[electronic resource] ] : International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers / / edited by Katharina Morik, Jean-Francois Boulicaut, Arno Siebes |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XI, 233 p.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Algorithms Mathematical statistics Database management Information storage and retrieval Artificial Intelligence Data Structures and Information Theory Algorithm Analysis and Problem Complexity Probability and Statistics in Computer Science Database Management Information Storage and Retrieval |
| ISBN | 9783540318941 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pushing Constraints to Detect Local Patterns -- From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms -- Pattern Discovery Tools for Detecting Cheating in Student Coursework -- Local Pattern Detection and Clustering -- Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery -- Visualizing Very Large Graphs Using Clustering Neighborhoods -- Features for Learning Local Patterns in Time-Stamped Data -- Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis -- Local Pattern Discovery in Array-CGH Data -- Learning with Local Models -- Knowledge-Based Sampling for Subgroup Discovery -- Temporal Evolution and Local Patterns -- Undirected Exception Rule Discovery as Local Pattern Detection -- From Local to Global Analysis of Music Time Series. |
| Record Nr. | UNISA-996466161503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings / / edited by Luc de Raedt, Arno Siebes
| Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings / / edited by Luc de Raedt, Arno Siebes |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (DXXXII, 514 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Database management Information technology Business—Data processing Information storage and retrieval Natural language processing (Computer science) Artificial Intelligence Data Structures and Information Theory Database Management IT in Business Information Storage and Retrieval Natural Language Processing (NLP) |
| ISBN | 3-540-44794-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regular Papers -- Self-Similar Layered Hidden Markov Models -- Automatic Text Summarization Using Unsupervised and Semi-supervised Learning -- Detecting Temporal Change in Event Sequences: An Application to Demographic Data -- Knowledge Discovery in Multi-label Phenotype Data -- Computing Association Rules Using Partial Totals -- Gaphyl: A Genetic Algorithms Approach to Cladistics -- Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity -- Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering -- Non-crisp Clustering by Fast, Convergent, and Robust Algorithms -- Pattern Extraction for Time Series Classification -- Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study -- Interesting Fuzzy Association Rules in Quantitative Databases -- Interestingness Measures for Fuzzy Association Rules -- A Data Set Oriented Approach for Clustering Algorithm Selection -- Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection -- Discovery of Temporal Patterns -- Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB -- Using Grammatical Inference to Automate Information Extraction from the Web -- Biological Sequence Data Mining -- Implication-Based Fuzzy Association Rules -- A General Measure of Rule Interestingness -- Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization -- Propositionalisation and Aggregates -- Algorithms for the Construction of Concept Lattices and Their Diagram Graphs -- Data Reduction Using Multiple Models Integration -- Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution -- Sentence Filtering for Information Extraction in Genomics, a Classification Problem -- Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces -- A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory -- Internet Document Filtering Using Fourier Domain Scoring -- Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation -- Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data -- Comparison of Three Objective Functions for Conceptual Clustering -- Identification of ECG Arrhythmias Using Phase Space Reconstruction -- Finding Association Rules That Trade Support Optimally against Confidence -- Bloomy Decision Tree for Multi-objective Classification -- Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction -- Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model -- The TwoKey Plot for Multiple Association Rules Control -- Lightweight Collaborative Filtering Method for Binary-Encoded Data -- Invited Papers -- Support Vectors for Reinforcement Learning -- Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining -- Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining -- The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery -- Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. |
| Altri titoli varianti | Dedicated to Jan Zytkow |
| Record Nr. | UNISA-996465799703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
