{"id":"W4252403066","doi":"10.1145/342009.335372","title":"Mining frequent patterns without candidate generation","year":2000,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004382792,0.001247691,0.002073848,0.004333536,0.001130014,0.002441965,0.002905045,0.002042173,0.003817771],"category_scores_gemma":[0.02670068,0.0007844547,0.001815085,0.004712982,0.0007989789,0.003809967,0.001955307,0.001178386,0.002802969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003137145,"about_ca_system_score_gemma":0.001415975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006662519,"about_ca_topic_score_gemma":0.0008739092,"domain_scores_codex":[0.9954359,0.001249113,0.0005080149,0.001050329,0.001442901,0.0003138157],"domain_scores_gemma":[0.9812487,0.01245813,0.000897677,0.003136664,0.001986318,0.000272529],"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":[0.001569741,0.000605119,0.01424198,0.0009347532,0.0004545501,0.002022357,0.0003380806,0.03815769,0.01411038,0.02363379,0.01036714,0.8935643],"study_design_scores_gemma":[0.0004492222,0.001388549,0.00489724,0.0001926765,0.0004465717,0.003913676,0.0002759552,0.8844184,0.02549854,0.06096217,0.01745515,0.0001017913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07246657,0.001026843,0.9177967,0.0004429516,0.0002151798,0.0007899947,0.001606556,0.002214215,0.003440989],"genre_scores_gemma":[0.3566686,0.0006150791,0.6301679,0.0003009335,0.000255101,0.0008406,0.007348476,0.0001721125,0.003631213],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004382792,"threshold_uncertainty_score":0.0231787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286779170339445,"score_gpt":0.2596902950618048,"score_spread":0.2368225033584103,"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."}}