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Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, the Netherlands, August 9-11, 1999 : proceedings / / David J. Hand, Joost N. Kok, Michael R. Berthold (editors)
| Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, the Netherlands, August 9-11, 1999 : proceedings / / David J. Hand, Joost N. Kok, Michael R. Berthold (editors) |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [1999] |
| Descrizione fisica | 1 online resource (XII, 544 p.) |
| Disciplina | 519.5 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Mathematical statistics |
| ISBN | 3-540-48412-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning -- From Theoretical Learnability to Statistical Measures of the Learnable -- ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis -- A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees -- Mining Clusters with Association Rules -- Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series -- The Biases of Decision Tree Pruning Strategies -- Feature Selection as Retrospective Pruning in Hierarchical Clustering -- Discriminative Power of Input Features in a Fuzzy Model -- Learning Elements of Representations for Redescribing Robot Experiences -- “Seeing“ Objects in Spatial Datasets -- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic -- Visualization -- Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings -- Knowledge-Based Visualization to Support Spatial Data Mining -- Probabilistic Topic Maps: Navigating through Large Text Collections -- 3D Grand Tour for Multidimensional Data and Clusters -- Classification and Clustering -- A Decision Tree Algorithm for Ordinal Classification -- Discovering Dynamics Using Bayesian Clustering -- Integrating Declarative Knowledge in Hierarchical Clustering Tasks -- Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization -- Supervised Classification Problems: How to Be Both Judge and Jury -- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification -- Exploiting Similarity for Supporting Data Analysis and Problem Solving -- Multiple Prototype Model for Fuzzy Clustering -- A Comparison of Genetic Programming Variants for Data Classification -- Fuzzy Clustering Based on Modified Distance Measures -- Building Classes in Object-Based Languages by Automatic Clustering -- Integration -- Adjusted Estimation for the Combination of Classifiers -- Data-Driven Theory Refinement Using KBDistAl -- Reasoning about Input-Output Modeling of Dynamical Systems -- Undoing Statistical Advice -- A Method for Temporal Knowledge Conversion -- Applications -- Intrusion Detection through Behavioral Data -- Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry -- Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees -- Pump Failure Detection Using Support Vector Data Descriptions -- Data Mining for the Detection of Turning Points in Financial Time Series -- Computer-Assisted Classification of Legal Abstracts -- Sequential Control Logic Inferring Method from Observed Plant I/O Data -- Evaluating an Eye Screening Test -- Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure -- Media Mining -- Exploiting Structural Information for Text Classification on the WWW -- Multi-agent Web Information Retrieval: Neural Network Based Approach -- Adaptive Information Filtering Algorithms -- A Conceptual Graph Approach for Video Data Representation and Retrieval. |
| Record Nr. | UNINA-9910143456603321 |
| Berlin ; ; Heidelberg : , : Springer, , [1999] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, the Netherlands, August 9-11, 1999 : proceedings / / David J. Hand, Joost N. Kok, Michael R. Berthold (editors)
| Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, the Netherlands, August 9-11, 1999 : proceedings / / David J. Hand, Joost N. Kok, Michael R. Berthold (editors) |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [1999] |
| Descrizione fisica | 1 online resource (XII, 544 p.) |
| Disciplina | 519.5 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Mathematical statistics |
| ISBN | 3-540-48412-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning -- From Theoretical Learnability to Statistical Measures of the Learnable -- ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis -- A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees -- Mining Clusters with Association Rules -- Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series -- The Biases of Decision Tree Pruning Strategies -- Feature Selection as Retrospective Pruning in Hierarchical Clustering -- Discriminative Power of Input Features in a Fuzzy Model -- Learning Elements of Representations for Redescribing Robot Experiences -- “Seeing“ Objects in Spatial Datasets -- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic -- Visualization -- Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings -- Knowledge-Based Visualization to Support Spatial Data Mining -- Probabilistic Topic Maps: Navigating through Large Text Collections -- 3D Grand Tour for Multidimensional Data and Clusters -- Classification and Clustering -- A Decision Tree Algorithm for Ordinal Classification -- Discovering Dynamics Using Bayesian Clustering -- Integrating Declarative Knowledge in Hierarchical Clustering Tasks -- Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization -- Supervised Classification Problems: How to Be Both Judge and Jury -- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification -- Exploiting Similarity for Supporting Data Analysis and Problem Solving -- Multiple Prototype Model for Fuzzy Clustering -- A Comparison of Genetic Programming Variants for Data Classification -- Fuzzy Clustering Based on Modified Distance Measures -- Building Classes in Object-Based Languages by Automatic Clustering -- Integration -- Adjusted Estimation for the Combination of Classifiers -- Data-Driven Theory Refinement Using KBDistAl -- Reasoning about Input-Output Modeling of Dynamical Systems -- Undoing Statistical Advice -- A Method for Temporal Knowledge Conversion -- Applications -- Intrusion Detection through Behavioral Data -- Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry -- Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees -- Pump Failure Detection Using Support Vector Data Descriptions -- Data Mining for the Detection of Turning Points in Financial Time Series -- Computer-Assisted Classification of Legal Abstracts -- Sequential Control Logic Inferring Method from Observed Plant I/O Data -- Evaluating an Eye Screening Test -- Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure -- Media Mining -- Exploiting Structural Information for Text Classification on the WWW -- Multi-agent Web Information Retrieval: Neural Network Based Approach -- Adaptive Information Filtering Algorithms -- A Conceptual Graph Approach for Video Data Representation and Retrieval. |
| Record Nr. | UNISA-996465733803316 |
| Berlin ; ; Heidelberg : , : Springer, , [1999] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, proceedings / / Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (editors)
| Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, proceedings / / Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XIV, 382 p.) |
| Disciplina | 006.33 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Mathematical statistics
Mathematical statistics - Data processing Expert systems (Computer science) |
| ISBN | 3-540-74825-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Data Analysis -- Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions -- Multiplicative Updates for L 1–Regularized Linear and Logistic Regression -- Learning to Align: A Statistical Approach -- Transductive Reliability Estimation for Kernel Based Classifiers -- Bayesian Approaches -- Parameter Learning for Bayesian Networks with Strict Qualitative Influences -- Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management -- Clustering Methods -- DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation -- Visualising the Cluster Structure of Data Streams -- Relational Topographic Maps -- Ensemble Learning -- Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification -- Combining Bagging and Random Subspaces to Create Better Ensembles -- Two Bagging Algorithms with Coupled Learners to Encourage Diversity -- Ranking -- Relational Algebra for Ranked Tables with Similarities: Properties and Implementation -- A New Way to Aggregate Preferences: Application to Eurovision Song Contests -- Trees -- Conditional Classification Trees Using Instrumental Variables -- Robust Tree-Based Incremental Imputation Method for Data Fusion -- Sequence/ Time Series Analysis -- Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data -- Recurrent Predictive Models for Sequence Segmentation -- Sequence Classification Using Statistical Pattern Recognition -- Knowledge Discovery -- Subrule Analysis and the Frequency-Confidence Diagram -- A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables -- Visualization -- Visualizing Sets of Partial Rankings -- A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization -- Landscape Multidimensional Scaling -- Text Mining -- A Support Vector Machine Approach to Dutch Part-of-Speech Tagging -- Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering -- Does SVM Really Scale Up to Large Bag of Words Feature Spaces? -- Bioinformatics -- Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers -- Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences -- Soft Topographic Map for Clustering and Classification of Bacteria -- Applications -- Fuzzy Logic Based Gait Classification for Hemiplegic Patients -- Traffic Sign Recognition Using Discriminative Local Features -- Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression. |
| Altri titoli varianti |
Advances in intelligent data analysis 7
Advances in intelligent data analysis seven |
| Record Nr. | UNINA-9910484403103321 |
| Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, proceedings / / Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (editors)
| Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, proceedings / / Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XIV, 382 p.) |
| Disciplina | 006.33 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Mathematical statistics
Mathematical statistics - Data processing Expert systems (Computer science) |
| ISBN | 3-540-74825-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Data Analysis -- Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions -- Multiplicative Updates for L 1–Regularized Linear and Logistic Regression -- Learning to Align: A Statistical Approach -- Transductive Reliability Estimation for Kernel Based Classifiers -- Bayesian Approaches -- Parameter Learning for Bayesian Networks with Strict Qualitative Influences -- Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management -- Clustering Methods -- DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation -- Visualising the Cluster Structure of Data Streams -- Relational Topographic Maps -- Ensemble Learning -- Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification -- Combining Bagging and Random Subspaces to Create Better Ensembles -- Two Bagging Algorithms with Coupled Learners to Encourage Diversity -- Ranking -- Relational Algebra for Ranked Tables with Similarities: Properties and Implementation -- A New Way to Aggregate Preferences: Application to Eurovision Song Contests -- Trees -- Conditional Classification Trees Using Instrumental Variables -- Robust Tree-Based Incremental Imputation Method for Data Fusion -- Sequence/ Time Series Analysis -- Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data -- Recurrent Predictive Models for Sequence Segmentation -- Sequence Classification Using Statistical Pattern Recognition -- Knowledge Discovery -- Subrule Analysis and the Frequency-Confidence Diagram -- A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables -- Visualization -- Visualizing Sets of Partial Rankings -- A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization -- Landscape Multidimensional Scaling -- Text Mining -- A Support Vector Machine Approach to Dutch Part-of-Speech Tagging -- Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering -- Does SVM Really Scale Up to Large Bag of Words Feature Spaces? -- Bioinformatics -- Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers -- Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences -- Soft Topographic Map for Clustering and Classification of Bacteria -- Applications -- Fuzzy Logic Based Gait Classification for Hemiplegic Patients -- Traffic Sign Recognition Using Discriminative Local Features -- Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression. |
| Altri titoli varianti |
Advances in intelligent data analysis 7
Advances in intelligent data analysis seven |
| Record Nr. | UNISA-996465748403316 |
| Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational life sciences : first international symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005 : proceedings / / Michael R. Berthold ... [et al.] (eds.)
| Computational life sciences : first international symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005 : proceedings / / Michael R. Berthold ... [et al.] (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2005 |
| Descrizione fisica | 1 online resource (XII, 280 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) | BertholdM (Michael) |
| Collana | Lecture notes in computer science,Lecture notes in bioinformatics |
| Soggetto topico |
Life sciences - Data processing
Bioinformatics Computational biology Molecular biology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Systems Biology -- Structural Protein Interactions Predict Kinase-Inhibitor Interactions in Upregulated Pancreas Tumour Genes Expression Data -- Biochemical Pathway Analysis via Signature Mining -- Recurrent Neuro-fuzzy Network Models for Reverse Engineering Gene Regulatory Interactions -- Data Analysis and Integration -- Some Applications of Dummy Point Scatterers for Phasing in Macromolecular X-Ray Crystallography -- BioRegistry: A Structured Metadata Repository for Bioinformatic Databases -- Robust Perron Cluster Analysis for Various Applications in Computational Life Science -- Structural Biology -- Multiple Alignment of Protein Structures in Three Dimensions -- Protein Annotation by Secondary Structure Based Alignments (PASSTA) -- MAPPIS: Multiple 3D Alignment of Protein-Protein Interfaces -- Genomics -- Frequent Itemsets for Genomic Profiling -- Gene Selection Through Sensitivity Analysis of Support Vector Machines -- The Breakpoint Graph in Ciliates -- Computational Proteomics -- ProSpect: An R Package for Analyzing SELDI Measurements Identifying Protein Biomarkers -- Algorithms for the Automated Absolute Quantification of Diagnostic Markers in Complex Proteomics Samples -- Detection of Protein Assemblies in Crystals -- Molecular Informatics -- Molecular Similarity Searching Using COSMO Screening Charges (COSMO/3PP) -- Increasing Diversity in In-silico Screening with Target Flexibility -- Multiple Semi-flexible 3D Superposition of Drug-Sized Molecules -- Molecular Structure Determination and Simulation -- Efficiency Considerations in Solving Smoluchowski Equations for Rough Potentials -- Fast and Accurate Structural RNA Alignment by Progressive Lagrangian Optimization -- Visual Analysis of Molecular Conformations by Means of a Dynamic Density Mixture Model -- Distributed Data Mining -- Distributed BLAST in a Grid Computing Context -- Parallel Tuning of Support Vector Machine Learning Parameters for Large and Unbalanced Data Sets -- The Architecture of a Proteomic Network in the Yeast. |
| Altri titoli varianti | CompLife 2005 |
| Record Nr. | UNINA-9910484709503321 |
| Berlin ; ; New York, : Springer, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational life sciences II : Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006 : proceedings / / Michael R. Berthold, Robert Glen, Ingrid Fischer (eds.)
| Computational life sciences II : Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006 : proceedings / / Michael R. Berthold, Robert Glen, Ingrid Fischer (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2006 |
| Descrizione fisica | 1 online resource (XIII, 269 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) |
BertholdM (Michael)
GlenRobert (Robert Charles) FischerIngrid |
| Collana |
LNCS sublibrary. SL 8, Bioinformatics
Lecture notes in computer science,Lecture notes in bioinformatics |
| Soggetto topico |
Life sciences - Data processing
Bioinformatics Computational biology Molecular biology |
| ISBN | 3-540-45768-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genomics -- Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering -- A Hybrid Grid and Its Application to Orthologous Groups Clustering -- Promoter Prediction Using Physico-Chemical Properties of DNA -- Parametric Spectral Analysis of Malaria Gene Expression Time Series Data -- An Efficient Algorithm for Finding Long Conserved Regions Between Genes -- The Reversal Median Problem, Common Intervals, and Mitochondrial Gene Orders -- Data Mining -- Building Structure-Property Predictive Models Using Data Assimilation -- Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models -- Relational Subgroup Discovery for Descriptive Analysis of Microarray Data -- Applicability of Loop Recombination in Ciliates Using the Breakpoint Graph -- High-Throughput Identification of Chemistry in Life Science Texts -- Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level -- Molecular Simulation -- Dynamic Complexity of Chaotic Transitions in High-Dimensional Classical Dynamics: Leu-Enkephalin Folding -- Solvent Effects and Conformational Stability of a Tripeptide -- Grid Assisted Ensemble Molecular Dynamics Simulations of HIV-1 Proteases Reveal Novel Conformations of the Inhibitor Saquinavir -- Molecular Informatics -- A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants -- Classifying the World Anti-Doping Agency’s 2005 Prohibited List Using the Chemistry Development Kit Fingerprint -- A Point-Matching Based Algorithm for 3D Surface Alignment of Drug-Sized Molecules -- Systems Biology -- Adaptive Approach for Modelling Variability in Pharmacokinetics -- A New Approach to Flux Coupling Analysis of Metabolic Networks -- Biological Networks / Metabolism -- Software Supported Modelling in Pharmacokinetics -- On the Interpretation of High Throughput MS Based Metabolomics Fingerprints with Random Forest -- Construction of Correlation Networks with Explicit Time-Slices Using Time-Lagged, Variable Interval Standard and Partial Correlation Coefficients -- Computational Neuroscience -- The Language of Cortical Dynamics -- A Simple Method to Simultaneously Track the Numbers of Expressed Channel Proteins in a Neuron. |
| Altri titoli varianti |
CompLife 2006
Computational life sciences 2 Computational life sciences two |
| Record Nr. | UNINA-9910767506003321 |
| Berlin, : Springer, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||