{"id":"W2064853889","doi":"10.1145/335191.335372","title":"Mining frequent patterns without candidate generation","year":2000,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":6360,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data mining; Scalability; Set (abstract data type); Tree (set theory); GSP Algorithm; Trie; Apriori algorithm; Association rule learning; Database transaction; Data structure; Database; Mathematics","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":[0.002773499,0.001056047,0.001519753,0.003317313,0.00100269,0.00206516,0.002329979,0.001365068,0.001859842],"category_scores_gemma":[0.02035071,0.0007856847,0.001484656,0.00490263,0.0007125326,0.004425202,0.001633149,0.001036493,0.001685548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008443,"about_ca_system_score_gemma":0.001785138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120577,"about_ca_topic_score_gemma":0.001320278,"domain_scores_codex":[0.9961926,0.0007167507,0.000433287,0.0008190486,0.001568536,0.000269712],"domain_scores_gemma":[0.9865072,0.007654811,0.001021671,0.002320056,0.002259916,0.0002362861],"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":[0.0010564,0.000461875,0.01837986,0.0007472817,0.0003290033,0.001876907,0.000418306,0.06016991,0.01936469,0.02295568,0.009558297,0.8646818],"study_design_scores_gemma":[0.0001956015,0.0008190697,0.003836875,0.0001240209,0.0002428607,0.002747715,0.0003290195,0.9142375,0.02069824,0.0440002,0.01270348,0.00006536376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09213933,0.001131604,0.8995709,0.0004390427,0.0001288635,0.000554885,0.001724529,0.001824547,0.002486367],"genre_scores_gemma":[0.3137254,0.0007244687,0.6758033,0.0002281819,0.0001549204,0.0006648764,0.006173484,0.0001304664,0.00239493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003317313,"threshold_uncertainty_score":0.01466781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02961243143666664,"score_gpt":0.2688342363591712,"score_spread":0.2392218049225046,"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."}}