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Data Mining: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications (Intelligent Systems Reference Library)

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There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

The term ‘data mining’ was introduced in the 1990’s to describe an emerging field based on classical statistics, artificial intelligence and machine learning. By combining techniques from these areas, and developing new ones researchers are able to innovatively analyze large datasets productively. Patterns found in these datasets are subsequently analyzed with a view to acquiring new knowledge. These techniques have been applied in a broad range of medical, health, social and biological areas. In compiling this volume we have sought to present innovative research from prestigious contributors in the field of data mining. Each chapter is self-contained and is described briefly in Chapter 1.

This book will prove valuable to theoreticians as well as application scientists/engineers in the area of Data Mining. Postgraduate students will also find this a useful sourcebook since it shows the direction of current research.

We have been fortunate in attracting top class researchers as contributors and wish to offer our thanks for their support in this project. We also acknowledge the expertise and time of the reviewers. Finally, we also wish to thank Springer for their support.
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