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Machine Learning, Data Warehousing & Mining
Machine Learning and Data Mining in Pattern Recognition by Petra Perner β€” book cover

Machine Learning and Data Mining in Pattern Recognition

by Petra Perner (Editor), Maria Petrou
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Overview

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM'99, held in Leipzig, Germany in September 1999. The 15 revised full papers presented together with two invited contributions were carefully reviewed. The papers are organized in sections on neural networks applied to image processing and recognition, learning in image pre-processing and segmentation, image retrieval, classification and image interpretation, symbolic learning and neural networks in document processing, and data mining.

Synopsis

This book constitutes the refereed proceedings of the 4th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2005, held in Leipzig, Germany, in July 2005.

The 68 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on classification and model estimation, neural methods, subspace methods, basics and applications of clustering, feature grouping, discretization, selection and transformation, applications in medicine, time series and sequential pattern mining, mining images in computer vision, mining images and texture, mining motion from sequence, speech analysis, aspects of data mining, text mining, and as a special track: industrial applications of data mining.

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Book Details

Published
November 1, 2007
Publisher
Springer-Verlag New York, LLC
Pages
456
Format
Paperback
ISBN
9783540665991

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