{"id":"W2537347163","doi":"10.1109/taai.2015.7407089","title":"Mining closed+ high utility itemsets without candidate generation","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Lossless compression; Representation (politics); Data mining; Theoretical computer science; Information retrieval; Algorithm; Data compression","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":[0.002342047,0.001584636,0.002295416,0.003609813,0.00112114,0.002403562,0.00313893,0.001725439,0.002715579],"category_scores_gemma":[0.01255471,0.0009112157,0.001892865,0.005334766,0.0006786624,0.003257533,0.002260103,0.001474995,0.002217242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005720169,"about_ca_system_score_gemma":0.002120649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683137,"about_ca_topic_score_gemma":0.00302317,"domain_scores_codex":[0.9973409,0.0004856988,0.0003712276,0.0006904284,0.0008555079,0.0002562821],"domain_scores_gemma":[0.9938339,0.003433193,0.0005530333,0.000916523,0.001055879,0.0002074561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001316211,0.0006939418,0.01450675,0.0009798306,0.0003720564,0.001891144,0.0004006342,0.1115338,0.01160199,0.01404579,0.01537938,0.8272785],"study_design_scores_gemma":[0.0001656212,0.0005544256,0.002724263,0.0001344296,0.0001432478,0.001654003,0.0003398658,0.9362155,0.01265824,0.03556054,0.009793649,0.00005623357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07639927,0.001084754,0.9119206,0.0003928607,0.0001172341,0.0008680656,0.003058011,0.003471213,0.002688002],"genre_scores_gemma":[0.27467,0.0006093756,0.7082914,0.0002807259,0.0001075332,0.0006831526,0.01121275,0.0002081156,0.003936945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003609813,"threshold_uncertainty_score":0.01238608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06314924619531743,"score_gpt":0.2913426867135939,"score_spread":0.2281934405182764,"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."}}