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.The following topics are covered: data mining and technologies; knowledge discovery; text mining, structure mining and context mining; data analysis and data mining on large databases; data warehousing and databases; decision trees; neural networks; tools for pattern discovery; clustering and classification techniques; applications in business and industry; applications in health and medicine; applications in science and engineering; visualisation in data mining; web clickstream analysis; and web mining.

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Illustrating recent advances in data mining problems, encompassing both original research and practical development experience, papers from a September 2002 conference cover topics related to knowledge discovery; text, structure, and context mining; large databases; data warehousing; decision trees; neural networks; tools for pattern discovery; tec

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Data Mining III (Management Information Systems)

International Conference on Data Mining 2002 (Bologna, Italy)/ Brebbia, C. A. (Editor)/ Ebecken, N. F. F. (Editor)/ Melli, P. (Editor)/ Zanasi, A. (Editor)/ Zanasi, A.

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