Pre-processing structured data for standard machine learning algorithms by supervised graph propositionalization - A case study with medicinal chemistry datasets

Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010

Volumn , Issue , 2010, Pages 828-833

  Karunaratne, Thashmee ^a   Boström, Henrik ^a   Norinder, Ulf ^b  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b ASTRAZENECA R AND D   (Sweden)

Author keywords

Graph propositionalization; K nearest neighbor; Medicinal chemistry; Random forests; Structured data; Support vector machines

Indexed keywords

K-NEAREST NEIGHBOR; MEDICINAL CHEMISTRY; PROPOSITIONALIZATION; RANDOM FORESTS; STRUCTURED DATA;

DATA HANDLING; DECISION TREES; LEARNING SYSTEMS; METADATA; STANDARDS; VECTORS;

LEARNING ALGORITHMS;

EID: 79952373267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2010.128     Document Type: Conference Paper

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