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Advances in Intelligent Data Analysis : 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.
LIBRA Q341 .P7 2004
Available from offsite location
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science 0302-9743 ; 2189.
- Lecture Notes in Computer Science, 0302-9743 ; 2189
- Language:
- English
- Subjects (All):
- Database management.
- Artificial intelligence.
- Computers.
- Information storage and retrieval.
- Mathematical statistics.
- Pattern perception.
- Database Management.
- Artificial Intelligence.
- Theory of Computation.
- Information Storage and Retrieval.
- Probability and Statistics in Computer Science.
- Pattern Recognition.
- Local Subjects:
- Database Management.
- Artificial Intelligence.
- Theory of Computation.
- Information Storage and Retrieval.
- Probability and Statistics in Computer Science.
- Pattern Recognition.
- Physical Description:
- 1 online resource (XII, 388 pages).
- Edition:
- First edition 2001.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
- System Details:
- text file PDF
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-44816-7
- 9783540448167
- Access Restriction:
- Restricted for use by site license.
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