Advances in Intelligent Data Analysis [[electronic resource] ] : 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings / / edited by Frank Hoffmann, David J Hand, Niall M. Adams, Douglas Fisher, Gabriela Guimaraes

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
• Edizione: 1st ed. 2001.
• Descrizione fisica: 1 online resource (XII, 388 p.)
• Disciplina: 519.5
• Soggetto topico: Database management; Artificial intelligence; Computers; Information storage and retrieval; Mathematical statistics; Pattern recognition; Database Management; Artificial Intelligence; Theory of Computation; Information Storage and Retrieval; Probability and Statistics in Computer Science; Pattern Recognition
• Persona (resp. second.): HoffmannFrank; HandDavid J; AdamsNiall M; FisherDouglas; GuimaraesGabriela
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: The Fourth International Symposium on Intelligent Data Analysis -- Feature Characterization in Scientific Datasets -- Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation -- Generating Fuzzy Summaries From Fuzzy Multidimensional Databases -- A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets -- Predicting Time-Varying Functions with Local Models -- Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering — A Preliminary Study -- Tagging with Small Training Corpora -- A Search Engine for Morphologically Complex Languages -- Errors Detection and Correction in Large Scale Data Collecting -- A New Framework to Assess Association Rules -- Communities of Interest -- An Evaluation of Grading Classifiers -- Finding Informative Rules in Interval Sequences -- Correlation-Based and Contextual Merit-Based Ensemble Feature Selection -- Nonmetric Multidimensional Scaling with Neural Networks -- Functional Trees for Regression -- Data Mining with Products of Trees -- S 3Bagging: Fast Classifier Induction Method with Subsampling and Bagging -- RNA-Sequence-Structure Properties and Selenocysteine Insertion -- An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes -- An Empirical Comparison of Pruning Methods for Ensemble Classifiers -- A framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis -- Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging -- Self-Supervised Chinese Word Segmentation -- Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules -- Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables -- Fluent Learning: Elucidating the Structure of Episodes -- An Intelligent Decision Support Model for Aviation Weather Forcasting -- MAMBO: Discovering Association Rules Based on Conditional Independencies -- Model Building for Random Fields -- Active Hidden Markov Models for Information Extraction -- Adaptive Lightweight Text Filtering -- General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks -- Investigating Temporal Patterns of Fault Behaviour Within Large Telephony Networks -- Closed Set Based Discovery of Representative Association Rules -- Intelligent Sensor Analysis and Actuator Control -- Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery -- The IDA’01 Robot Data Challenge -- The IDA’01 Robot Data Challenge.
• Titolo autorizzato: Advances in intelligent data analysis
• ISBN: 3-540-44816-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465821703316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science, . 0302-9743 ; ; 2189