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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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