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Data · dataset · 2021

Maximal Information Coefficient (MIC) full result data

Listed in UBIRA eData

MIC result for the second experiment in the thesis "Semantic Impact – a novel approach for domain concept selection in ontology learning", which aims to assess the semantic impact for various disease concepts in the Candida domain (MIC value is one of the parameters for the final semantic impact calculation).

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75%
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
UBIRA eDataoai:edata.bham.ac.uk:64013 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:diseaseenrichment · edata bham ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:earth-environmentalmapping · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
descriptionsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/description
license_textsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
publication_datesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
titlesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/title