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Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining (Paperback, Softcover reprint of hardcover 1st ed. 2009)
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Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Series: Studies in Computational Intelligence, 204
Expected to ship within 10 - 15 working days
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Foundations of Computational Intelligence Volume 4: Bio-Inspired
Data Mining Theoretical Foundations and Applications Recent
advances in the computing and electronics technology, particularly
in sensor devices, databases and distributed systems, are leading
to an exponential growth in the amount of data stored in databases.
It has been estimated that this amount doubles every 20 years. For
some applications, this increase is even steeper. Databases storing
DNA sequence, for example, are doubling their size every 10 months.
This growth is occurring in several applications areas besides
bioinformatics, like financial transactions, government data,
environmental mo- toring, satellite and medical images, security
data and web. As large organizations recognize the high value of
data stored in their databases and the importance of their data
collection to support decision-making, there is a clear demand for
- phisticated Data Mining tools. Data mining tools play a key role
in the extraction of useful knowledge from databases. They can be
used either to confirm a parti- lar hypothesis or to automatically
find patterns. In the second case, which is - lated to this book,
the goal may be either to describe the main patterns present in
dataset, what is known as descriptive Data Mining or to find
patterns able to p- dict behaviour of specific attributes or
features, known as predictive Data Mining. While the first goal is
associated with tasks like clustering, summarization and
association, the second is found in classification and regression
problems.
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