{"id":"W2293843830","doi":"10.1007/978-3-662-47804-2_6","title":"Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Popularity; Data stream mining; Data mining; Transactional leadership; STREAMS; Tree (set theory); 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":[0.00287336,0.001270906,0.001977897,0.00446539,0.001618538,0.004683827,0.003340985,0.003055399,0.001577372],"category_scores_gemma":[0.01696978,0.0009961121,0.001855732,0.01163486,0.001650711,0.01006022,0.00286821,0.002958432,0.0008389141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007772208,"about_ca_system_score_gemma":0.001066803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412377,"about_ca_topic_score_gemma":0.001833751,"domain_scores_codex":[0.9971133,0.0003564734,0.0003561005,0.0009215824,0.001109238,0.0001432398],"domain_scores_gemma":[0.9896824,0.005963896,0.001107775,0.001031811,0.001756105,0.0004579468],"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":[0.0004968775,0.0006178382,0.03195426,0.001114797,0.000328051,0.002203093,0.001018301,0.04461756,0.007925815,0.1200247,0.02605356,0.7636451],"study_design_scores_gemma":[0.00004561695,0.0001489316,0.0034777,0.00009402326,0.0001479382,0.003389261,0.0006118172,0.7875652,0.004421319,0.1888156,0.01121818,0.00006422012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04446996,0.002626419,0.9454902,0.00295091,0.0002761971,0.0001654864,0.001182062,0.000593548,0.00224513],"genre_scores_gemma":[0.2810752,0.00458185,0.7020351,0.000540936,0.001621535,0.000282752,0.002348016,0.0002325178,0.007282094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004683827,"threshold_uncertainty_score":0.01519597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328995517311378,"score_gpt":0.3016746119628169,"score_spread":0.2483846567897031,"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."}}