Advances in Mining Graphs, Trees and Sequences
Ever since the early days of machine learning and data mining, it has been realized that the traditional attribute-value and item-set representations are too limited for many practical applications in domains such as chemistry, biology, network analysis and text mining. This has triggered a lot of research on mining and learning within alternative and more expressive representation formalisms such as computational logic, relational algebra, graphs, trees and sequences. The motivation for using graphs, trees and sequences. Is that they are 1) more expressive than flat representations, and 2) potentially more efficient than multi-relational lea…
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Produktdetails
Weitere Autoren: Raedt, Luc De (Hrsg.) / Washio, Takashi (Hrsg.)
- ISBN: 978-1-58603-528-0
- EAN: 9781586035280
- Produktnummer: 2542262
- Verlag: IOS Press
- Sprache: Englisch
- Erscheinungsjahr: 2005
- Seitenangabe: 220 S.
- Masse: H24.6 cm x B18.9 cm x D1.2 cm 436 g
- Abbildungen: Paperback
- Gewicht: 436
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