{"id":"W2102589938","doi":"10.1109/icdm.2001.989600","title":"Fast parallel association rule mining without candidacy generation","year":2002,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Association rule learning; Computer science; Candidacy; Data mining; Process (computing); Parallel algorithm; Tree (set theory); Parallel computing; Mathematics; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002377546,0.001156852,0.001753475,0.001749079,0.001206379,0.001764253,0.002564358,0.0008078903,0.004559489],"category_scores_gemma":[0.0095999,0.0007774171,0.0009108959,0.002751606,0.0006931872,0.002817019,0.00179129,0.001332037,0.003170575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005245333,"about_ca_system_score_gemma":0.001875877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785875,"about_ca_topic_score_gemma":0.004483517,"domain_scores_codex":[0.9974933,0.0005080865,0.0002169443,0.000564003,0.001036862,0.0001808805],"domain_scores_gemma":[0.9944931,0.002788428,0.0002737584,0.001439094,0.0008511725,0.0001543898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007280348,0.0002213613,0.003346614,0.0002072522,0.0001321894,0.0002739376,0.0001563752,0.04783426,0.01111913,0.006962092,0.007088258,0.9219304],"study_design_scores_gemma":[0.0004152693,0.0002576605,0.001355015,0.00002855837,0.0001362306,0.001087681,0.0001056105,0.920005,0.02388537,0.03634364,0.01632858,0.0000515525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02105332,0.0005189105,0.9699533,0.000298455,0.0001260565,0.0002246733,0.0002288889,0.005691119,0.001905347],"genre_scores_gemma":[0.1336124,0.0003081321,0.8597295,0.0002177144,0.0001324634,0.0005022484,0.001199179,0.0004385333,0.003859835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004559489,"threshold_uncertainty_score":0.01525301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154291050930846,"score_gpt":0.246651509559753,"score_spread":0.2151085990504445,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}