Data mining is often referred to by real-time users and software
solutions providers as knowledge discovery in databases (KDD). Good
data mining practice for business intelligence (the art of turning
raw software into meaningful information) is demonstrated by the
many new techniques and developments in the conversion of fresh
scientific discovery into widely accessible software solutions.
This book has been written as an introduction to the main issues
associated with the basics of machine learning and the algorithms
used in data mining.
Suitable for advanced undergraduates and their tutors at
postgraduate level in a wide area of computer science and
technology topics as well as researchers looking to adapt various
algorithms for particular data mining tasks. A valuable addition to
the libraries and bookshelves of the many companies who are using
the principles of data mining (or KDD) to effectively deliver solid
business and industry solutions.
Provides an introduction to the main issues associated with the
basics of machine learning and the algorithms used in data miningA
valuable addition to the libraries and bookshelves of companies
using the principles of data mining (or KDD) to effectively deliver
solid business and industry solutions
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