Abstract
The current decade has seen an explosive growth in database technology and the amount of data collected. This has created an unprecedented opportunity for ”data mining,” which is a process of efficient supervised or unsupervised discovery of interesting information hidden in the data. The focus of this symposium is to bring together experts from the academia and the industry, including reseachers and practitioners, to discuss issues in this important area. Owing to the huge size of data and computation involved in data mining algorithms, parallel processing is often considered an essential component for a successful data mining solution - which will be a special emphasis of the symposium. Talks in this mini-symposium will cover both the current state-of the-practice as well as state-of-the-research in data mining. A highlight of the symposium is a panel discussion on the theory and practice of data mining.
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© 1999 Springer-Verlag Berlin Heidelberg
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Kumar, V., Srivastava, J. (1999). Mini Symposium: High Performance Data Mining. In: Banerjee, P., Prasanna, V.K., Sinha, B.P. (eds) High Performance Computing – HiPC’99. HiPC 1999. Lecture Notes in Computer Science, vol 1745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46642-0_25
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DOI: https://doi.org/10.1007/978-3-540-46642-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66907-4
Online ISBN: 978-3-540-46642-0
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