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About this Computer Science article
Efficient Mining for Structurally Diverse Subgraph Patterns in Large Molecular Databases by Andreas Maunz; Christoph Helma; Stefan Kramer is a Computer Science article available to read on EtoBox.
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Andreas Maunz; Christoph Helma; Stefan Kramer
- Publisher
- Springer; Springer-Verlag; Kluwer Academic Publishers; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 0885-6125)
- Published
- 2010
- Language
- EN
- Field
- Computer Science (Physical Sciences)
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