Abstract
Research in data mining has two general directions: theoretical foundations and advanced technologies and applications. In this talk, we will focus on the research issues for advanced technologies and applications in data mining and discuss some recent progress in this direction, including (1) pattern mining, usage, and understanding, (2) information network analysis, (3) stream data mining, (4) mining moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mining, (6) biological data mining, (7) text and Web mining, (8) data mining for software engineering and computer system analysis, and (9) data cube-oriented multidimensional online analytical processing.
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References
Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2006)
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© 2007 Springer Berlin Heidelberg
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Han, J. (2007). Research Frontiers in Advanced Data Mining Technologies and Applications. In: Zhou, ZH., Li, H., Yang, Q. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2007. Lecture Notes in Computer Science(), vol 4426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71701-0_1
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DOI: https://doi.org/10.1007/978-3-540-71701-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71700-3
Online ISBN: 978-3-540-71701-0
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