Database mining is a special case of Structured Data Mining.
It is the process of finding and extracting useful information from raw datasets.
See also
External links
References
- http://www.biodatabases.com/whitepaper01.html
- Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining Association Rules between Sets of Items in Large Databases (1993). Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, months 26–28, pp.207–216.
- Rakesh Agrawal and Ramakrishnan Srikant. Fast Algorithms for Mining Association Rules (1994). Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), month 12–15, pp.487–499.
- Caragea, D., Zhang, J., Bao, J., Pathak, J., and Honavar, V. (2005). Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous Information Sources In: Proceedings of the 16th International Conference on Algorithmic Learning Theory. Lecture Notes in Computer Science. Vol. 3734. pp. 13-44. Berlin: Springer-Verlag.