Structured data mining
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Structured data mining is the process of finding and extracting useful information from raw datasets. This page may one day describe mining for general data structures. Graph mining is a special case of Structured Data Mining, which is related to Molecule mining.
Contents |
[edit] See also
[edit] External links
- Mining structured data
- The 5th International Workshop on Mining and Learning with Graphs, Firenze, August 1-3, 2007
[edit] References
- Gusfield, D., Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology, Cambridge University Press, 1997. ISBN 0-521-58519-8
- R.O. Duda, P.E. Hart, D.G. Stork, Pattern Classification, John Wiley & Sons, 2001. ISBN 0-471-05669-3
[edit] Molecule mining
- Schölkopf, B., K. Tsuda and J. P. Vert: Kernel Methods in Computational Biology, MIT Press, Cambridge, MA, 2004.
- R. Todeschini, V. Consonni, Handbook of Molecular Descriptors, Wiley-VCH, 2000. ISBN 3-527-29913-0
- C. Helma (ed.), Predictive Toxicology, CRC, 2005. ISBN 0-8247-2397-X
