Advances in Intelligent Data Analysis 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hoffmann, Frank (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hand, David J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Adams, Niall M. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Fisher, Douglas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Guimaraes, Gabriela (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
Έκδοση:1st ed. 2001.
Σειρά:Lecture Notes in Computer Science, 2189
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.