PAtterns for Next-generation DAtabase systems: preliminary results of the PANDA project.
作者： Matteo Golfarelli , Elisa Bertino , Paolo Ciaccia , Ilaria Bartolini , Barbara Catania
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摘要: Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and mining in order reduce complexity management. The output these techniques are knowledge artifacts, heterogeneous both structure semantics. We claim that concept is a good candidate for generic representation novel information types. PANDA project aimed at studying main issues related handling. In this paper we present preliminary results obtained: outline architecture Pattern-Base Management Systems, provide foundations logical framework, queries on patterns.
参考文章(11)
Ramakrishnan Srikant, Rakesh Agrawal, Fast algorithms for mining association rules very large data bases. pp. 580- 592 ,(1998)
Tomasz Imieliński, Aashu Virmani, MSQL: A Query Language for Database Mining Data Mining and Knowledge Discovery. ,vol. 3, pp. 373- 408 ,(1999) , 10.1023/A:1009816913055
Giuseppe Psaila, Stefano Ceri, Rosa Meo, A New SQL-like Operator for Mining Association Rules very large data bases. ,vol. 22, pp. 122- 133 ,(1996)
P.C. Kanellakis, G.M. Kuper, P.Z. Revesz, Constraint Query Languages Journal of Computer and System Sciences. ,vol. 51, pp. 26- 52 ,(1995) , 10.1006/JCSS.1995.1051
Y. Cui, J. Widom, Lineage tracing in a data warehousing system international conference on data engineering. pp. 683- 684 ,(2000) , 10.1109/ICDE.2000.839493
Tomasz Imielinski, Heikki Mannila, A database perspective on knowledge discovery Communications of the ACM. ,vol. 39, pp. 58- 64 ,(1996) , 10.1145/240455.240472
Luc De Raedt, A perspective on inductive databases knowledge discovery and data mining. ,vol. 4, pp. 69- 77 ,(2002) , 10.1145/772862.772871
Eamonn Keogh, Chotirat Ann Ratanamahatana, Exact indexing of dynamic time warping very large data bases. pp. 406- 417 ,(2002)
Micheline Kamber, Jiawei Han, Jian Pei, Data Mining: Concepts and Techniques ,(2000)
Pavel Zezula, Paolo Ciaccia, Marco Patella, M-tree: An Efficient Access Method for Similarity Search in Metric Spaces very large data bases. pp. 426- 435 ,(1997)