Machine Learning and Data Mining in Pattern Recognition

Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001. Proceedings (Lecture Notes in Computer Science)

Edición de la obra 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<br />Author: Petra Perner<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-42359-1<br /> DOI: 10.1007/3-540-44596-X<br /><br />Table of Contents:<p></p><ul><li>Technology of Text Mining </li><li>Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining </li><li>Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications </li><li>Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? </li><li>FAM-Based Fuzzy Inference for Detecting Shot Transitions </li><li>Rule-Based Ensemble Solutions for Regression </li><li>Learning XML Grammars </li><li>First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps </li><li>Concepts Learning with Fuzzy Clustering and Relevance Feedback </li><li>LC: A Conceptual Clustering Algorithm </li><li>Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data </li><li>A Hybrid Tool for Data Mining in Picture Archiving System </li><li>Feature Selection for a Real-World Learning Task </li><li>Automatic Identification of Diatoms Using Decision Forests </li><li>Validation of Text Clustering Based on Document Contents </li><li>Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution </li><li>How to Automate Neural Net Based Learning </li><li>Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks </li><li>Local Learning Framework for Recognition of Lowercase Handwritten Characters </li><li>Mirror Image Learning for Handwritten Numeral Recognition</li></ul>