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Knowledge Discovery in Multiple Databases (Paperback, Softcover reprint of the original 1st ed. 2004)
Loot Price: R2,943
Discovery Miles 29 430
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Knowledge Discovery in Multiple Databases (Paperback, Softcover reprint of the original 1st ed. 2004)
Series: Advanced Information and Knowledge Processing
Expected to ship within 10 - 15 working days
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Many organizations have an urgent need of mining their multiple
databases inherently distributed in branches (distributed data). In
particular, as the Web is rapidly becoming an information flood,
individuals and organizations can take into account low-cost
information and knowledge on the Internet when making decisions.
How to efficiently identify quality knowledge from different data
sources has become a significant challenge. This challenge has
attracted a great many researchers including the au thors who have
developed a local pattern analysis, a new strategy for dis covering
some kinds of potentially useful patterns that cannot be mined in
traditional multi-database mining techniques. Local pattern
analysis deliv ers high-performance pattern discovery from multiple
databases. There has been considerable progress made on
multi-database mining in such areas as hierarchical meta-learning,
collective mining, database classification, and pe culiarity
discovery. While these techniques continue to be future topics of
interest concerning multi-database mining, this book focuses on
these inter esting issues under the framework of local pattern
analysis. The book is intended for researchers and students in data
mining, dis tributed data analysis, machine learning, and anyone
else who is interested in multi-database mining. It is also
appropriate for use as a text supplement for broader courses that
might also involve knowledge discovery in databases and data
mining."
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