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RELATED
WORK
Several
approaches have been provided for pattern management. However, most of the
approaches represent only data mining patterns and provide management only
for patterns of the same type. Pattern types are in general predefined and
cannot be extended by the user. Finally, synchronization issues are only partially
taken into account (and not explicitly considered by existing standards).
Inductive
databases
- De Raedt, L. (2002).
A Perspective on Inductive Databases. ACM SIGKDD Explorations
Newsletter, 4(2), pages 69–77.
- De Raedt, L.,
Jaeger, M., Lee, S.D., Mannila, H.(2002) A Theory on Inductive Query
Answering. In Proc. of ICDM, pages 123–130.
- Imielinski, T.,
Mannila, H. (1996). A Database Perspective on Knowledge Discovery.
Communications of the ACM, 39(11): 58–64.
- Han, J., Fu, Y., Wang, W., Koperski, K., Zaiane, O. (1996). DMQL: A data mining
query language for relational databases. In Proc.of ACM SIGMOD'96
Workshop on Research Issues in Data Mining and Knowledge Discovery
(DMKD'96).
- Imielinski, T. ,
Virmani, A. (1999). MSQL: A Query Language for Database Mining. Data
Mining and Knowledge Discovery, 2(4): 373–408.
- Meo, R., Psaila, G.,
Ceri, S. (1996) A New SQL-like Operator for Mining Association Rules.
In Prof. of VLDB, pages 122–133.
- Meo, R., Psaila, G., Ceri,S. (1999). An Extension to SQL
for Mining Association Rules. Data Mining and Knowledge Discovery,
2(2): 195–224.
- Meo, R., Lanzi, P.L., Klemettinen, M. (editors) (2004). Database Support for
Data Mining Applications - Discovering Knowledge with Inductive
Queries. LNAI 2682.
Other
theoretical frameworks
- Johnson,S.,
Lakshmanan, L.V.S., Ng, R.T. (2000). The 3W Model and Algebra for
Unified Data Mining. In Proc. of VLDB, pages 21–32.
Pattern
similarity
- Bartolini, I.,
Ciaccia, P., Ntoutsi, I., Patella, M., Theodoridiss, Y. (2004) A
Unified and Flexible Framework for Comparing Simple and Complex
Patterns. In LNAI 3202: Proc. of the 15th ECML/PKDD, pages 496–499.
- Ganti, V., Gehrke,
J., Ramakrishnan, R., Loh, W.-Y. (1999) A Framework for Measuring
Changes in Data Characteristics. In Proc. of PODS’99, pages 126–137.
Standards
Metadata & Semantic
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