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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Han, J. (2007). Research frontiers in advanced data mining technologies and applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4426 LNAI, pp. 1–5). Springer Verlag. https://doi.org/10.1007/978-3-540-71701-0_1
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