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| -rw-r--r-- | README.md | 10 |
1 files changed, 6 insertions, 4 deletions
@@ -57,17 +57,19 @@ The following creates datasets with backbone refinement class representatives or feature_uri specifies the dependent variable from the dataset. backbone=false reduces BBRC mining to frequent and correlated subtree mining (much more descriptors are produced). -### Create [BBRC](http://bbrc.maunz.de) features +### Create [BBRC](http://bbrc.maunz.de) features, recommended for large and very large datasets. curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d min_frequency={min_frequency} http://webservices.in-silico.ch/algorithm/fminer/bbrc -feature_uri specifies the dependent variable from the dataset. +feature_uri specifies the dependent variable from the dataset. +Please click [here](http://bbrc.maunz.de#usage) for more guidance on usage. -### Create [LAST-PM](http://last-pm.maunz.de) descriptors +### Create [LAST-PM](http://last-pm.maunz.de) descriptors, recommended for small to medium-sized datasets. curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d min_frequency={min_frequency} http://webservices.in-silico.ch/algorithm/fminer/last -feature_uri specifies the dependent variable from the dataset. +feature_uri specifies the dependent variable from the dataset. +Please click [here](http://last.maunz.de#usage) for guidance for more guidance on usage. * * * |