The increasing volume of data in modern business and science
calls for more complex and sophisticated tools. Although advances
in data mining technology have made extensive data collection much
easier, it s still always evolving and there is a constant need for
new techniques and tools that can help us transform this data into
useful information and knowledge.
Since the previous edition s publication, great advances have
been made in the field of data mining. Not only does the third of
edition of "Data Mining: Concepts and Techniques" continue the
tradition of equipping you with an understanding and application of
the theory and practice of discovering patterns hidden in large
data sets, it also focuses on new, important topics in the field:
data warehouses and data cube technology, mining stream, mining
social networks, and mining spatial, multimedia and other complex
data. Each chapter is a stand-alone guide to a critical topic,
presenting proven algorithms and sound implementations ready to be
used directly or with strategic modification against live data.
This is the resource you need if you want to apply today s most
powerful data mining techniques to meet real business
challenges.
* Presents dozens of algorithms and implementation examples, all
in pseudo-code and suitable for use in real-world, large-scale data
mining projects. * Addresses advanced topics such as mining
object-relational databases, spatial databases, multimedia
databases, time-series databases, text databases, the World Wide
Web, and applications in several fields. *Provides a comprehensive,
practical look at the concepts and techniques you need to get the
most out of your data"
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