{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003360159,0.00008488596,0.00009160593,0.00003663111,0.0001004595,0.0002120251,0.0004578997,0.00003341701,0.00001529031],"category_scores_gemma":[0.00002993908,0.0000726315,0.00001597303,0.0002104865,0.0000224638,0.000487862,0.0001666218,0.00004870034,0.0001001844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417318,"about_ca_system_score_gemma":0.00009492965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005119771,"about_ca_topic_score_gemma":0.0001169285,"domain_scores_codex":[0.9991234,0.00002997732,0.0001582296,0.0003281187,0.0001946639,0.0001656199],"domain_scores_gemma":[0.9990972,0.00001641438,0.00005055432,0.0005992783,0.00009138013,0.0001451265],"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":[0.000004607689,0.0001731717,0.006956337,0.000006608749,0.00002569543,0.000008529052,0.002005498,0.0001015681,0.001932394,0.1089715,0.2067563,0.6730578],"study_design_scores_gemma":[0.0003611205,0.00004503981,0.003039237,0.00000437146,0.00000495847,0.00001143783,0.00005797654,0.9362668,0.004068177,0.0009829586,0.0549584,0.0001995142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714626,0.00002419663,0.8213511,0.001294987,0.0003172223,0.000103545,0.00001416109,0.0002234523,0.005208785],"genre_scores_gemma":[0.6784739,0.000001608566,0.320269,0.0002671125,0.0001273476,0.00001915972,0.00005413434,0.000004036303,0.000783694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9361652,"threshold_uncertainty_score":0.2961827,"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."}}