• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: ELKI     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:WikicatFreeArtificialIntelligenceApplications, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: Thingcompanysoftwareschema:CreativeWorkworkwikidata:Q386724Softwareyago:Abstraction100002137yago:Application106570110yago:Code106355894yago:CodingSystem106353757yago:Cognition100023271yago:Communication100033020yago:Datum105816622yago:Information105816287yago:Program106568978yago:PsychologicalFeature100023100yago:Writing106359877yago:WrittenCommunication106349220yago:Software106566077yago:WikicatDataMiningAndMachineLearningSoftwareyago:WikicatFreeArtificialIntelligenceApplications New Facet based on Instances of this Class

ELKI (for Environment for DeveLoping KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching. It was originally at the database systems research unit of Professor Hans-Peter Kriegel at the Ludwig Maximilian University of Munich, Germany, and now continued at the Technical University of Dortmund, Germany. It aims at allowing the development and evaluation of advanced data mining algorithms and their interaction with database index structures.