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Data Complexity in Pattern Recognition : Advanced Information And Knowledge Processing - Mitra Basu

Data Complexity in Pattern Recognition

By: Mitra Basu (Editor), Tin Kam Ho (Editor)

Hardcover | 1 September 2006

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Classification & data characteristics are important issues that can be found in many disciplines. A good understanding of the complexity of a specific data set arising from an application is a prerequisite for setting a proper expectation on classification performance, & to addressing questions like whether, or to what extent, patterns exist in a specific problem. It can also provide an important guide to the selection of classification techniques. However, there is a huge & diverse literature in this field, which can make it very difficult to keep up with latest advances. Classification is a central topic in several disciplines related to pattern recognition including machine learning, neural networks, & data mining, & it has numerous practical applications in image, video & speech signal processing, biometrics, digital libraries etc. Differences in approach and terminology often mean that different communities are unaware of concurrent developments under slightly difference names.This book is unique in its complete coverage & multidisciplinary approach. Classification & data characteristics are important issues that are all pervasive & impact upon real-world problems - researchers & practitioners alike will find this book an excellent reference source.

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