Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.

Summary

Introducing fuzziness into maximum common substructures for meaningful cluster characterisation. is a scholarly conference abstract^[1].

Key Facts

• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s instance of is recorded as scholarly conference abstract^[2].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s copyright license is recorded as Creative Commons Attribution 4.0 International^[3].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s page is recorded as P17-P17^[4].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s DOI is recorded as 10.1186/1758-2946-6-S1-P17^[5].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s issue is recorded as Suppl 1^[6].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s volume is recorded as 6^[7].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s publication date is recorded as +2014-03-11T00:00:00Z^[8].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s main subject is recorded as maximum common substructure^[9].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s PMC publication ID is recorded as 3980174^[10].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s published in is recorded as Journal of Cheminformatics^[11].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s title is recorded as Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.^[12].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s author name string is recorded as Christian Herhaus^[13].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s cites work is recorded as Maximum common subgraph isomorphism algorithms and their applications in molecular science: a review^[14].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s ResearchGate publication ID is recorded as 279752809^[15].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s Dimensions publication ID is recorded as 1019323119^[16].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s copyright status is recorded as copyrighted^[17].
• Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s DBLP publication ID is recorded as journals/jcheminf/Herhaus14^[18].

Body

Designation and Status

Introducing fuzziness into maximum common substructures for meaningful cluster characterisation.'s instance of is recorded as scholarly conference abstract^[2].