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Data Mining II

Data mining is an interdisciplinary field dealing with the discovery of hidden data and unexpected patterns and rules in large databases. In this book, containing the proceedings of the second International Conference on Data Mining, researchers and applications developers from academia and industry present research and practical experiences in the diverse areas which make up data mining. They include computer experts, statisticians, knowledge acquisition specialists, data analysts, IT consultants, data visualization experts as well as users and developers.

In this book, containing the proceedings of the second International Conference on Data Mining, researchers and applications developers from academia and industry present research and practical experiences in the diverse areas which make up ...

Data Mining III

Data Mining brings together techniques from machine learning, pattern recognition, statistics, databases, linguistics and visualization in order to extract information from large databases. Originally principally concerned with behavioural applications, such as the understanding of customer behaviour, its scope has now been widened with the introduction of Text Mining techniques. Areas now encompassed by Data Mining include military, market, and competitive intelligence applications, taxonomies and internet search techniques, and knowledge management applications. Featuring almost 100 contributions from academics and practitioners working around the world, this book contains the proceedings of the Third International Conference on Data Mining.

Featuring almost 100 contributions from academics and practitioners working around the world, this book contains the proceedings of the Third International Conference on Data Mining.