{"id":"W2063529879","doi":"10.1145/358108.358114","title":"Beyond intratransaction association analysis","year":2000,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Badan Riset dan Inovasi Nasional; Helsingin Yliopisto","keywords":"Association rule learning; Apriori algorithm; Database transaction; Computer science; Association (psychology); Transaction data; Affinity analysis; Data mining; Data science; Psychology; Database","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":[0.01113132,0.001875937,0.002302752,0.008572572,0.001714209,0.006259198,0.004534108,0.001930607,0.003162001],"category_scores_gemma":[0.053749,0.0007605322,0.00260257,0.01121704,0.002134863,0.009649999,0.004894831,0.003945418,0.002204955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008298,"about_ca_system_score_gemma":0.001951182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621876,"about_ca_topic_score_gemma":0.00181592,"domain_scores_codex":[0.9759803,0.005716295,0.002295176,0.00640448,0.008728353,0.0008753921],"domain_scores_gemma":[0.9306611,0.03607225,0.009458841,0.01314494,0.009642364,0.001020508],"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":[0.000577142,0.0004845112,0.1366947,0.001062413,0.001793276,0.002047279,0.001717415,0.07279047,0.003716124,0.1138321,0.00889225,0.6563923],"study_design_scores_gemma":[0.00005483089,0.0002575676,0.01846303,0.0003592691,0.0005655205,0.00257846,0.001339859,0.5614007,0.007468463,0.3578354,0.04948146,0.0001953873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04174352,0.002331823,0.9470627,0.0008588423,0.0002019643,0.0001958377,0.001189609,0.001032099,0.005383532],"genre_scores_gemma":[0.5820517,0.001686912,0.4050038,0.0009091166,0.0006102166,0.0004093891,0.004974041,0.0004089946,0.003945802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01113132,"threshold_uncertainty_score":0.05886871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007761500766622136,"score_gpt":0.2255636195039939,"score_spread":0.2178021187373717,"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."}}