machine learning - Formal Concept Analysis data-sets -


i completing postgrad degree in information systems management , have been given thesis topic relates formal concept analysis.

the objective compare open-source software able read data , represent in lattice diagram (an example application of concept explorer). additionally, performance of these tools need compared 1 another, varying data-set sizes etc.

the main problem i'm experiencing finding data sets compliant these tools big enough test limits of each application, figuring out how accurately measure things such cpu time taken draw lattice diagram , other similar measures. data formal contexts follow binary relationship, such cross table shows how attributes , objects can related.

as such, question find such data , how able manipulate data usable software concept explorer.

p.s. new here, not sure if posted in right place!


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