Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition: Second International Workshop, MLDM 2001 Leipzig, Germany, July 25–27, 2001 Proceedings
Author: Petra Perner
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42359-1
DOI: 10.1007/3-540-44596-X

Table of Contents:

• Technology of Text Mining
• Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining
• Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications
• Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?
• FAM-Based Fuzzy Inference for Detecting Shot Transitions
• Rule-Based Ensemble Solutions for Regression
• Learning XML Grammars
• First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
• Concepts Learning with Fuzzy Clustering and Relevance Feedback
• LC: A Conceptual Clustering Algorithm
• Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data
• A Hybrid Tool for Data Mining in Picture Archiving System
• Feature Selection for a Real-World Learning Task
• Automatic Identification of Diatoms Using Decision Forests
• Validation of Text Clustering Based on Document Contents
• Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution
• How to Automate Neural Net Based Learning
• Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks
• Local Learning Framework for Recognition of Lowercase Handwritten Characters
• Mirror Image Learning for Handwritten Numeral Recognition