{"id":"W2112585725","doi":"10.5539/cis.v7n1p10","title":"A Formal Concept Analysis Approach to Data Mining: The QuICL Algorithm for Fast Iceberg Lattice Construction","year":2013,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Association rule learning; Lattice (music); Formal concept analysis; Algorithm; Lattice Miner; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007538153,0.001492329,0.001980778,0.005743138,0.001777246,0.00383856,0.004161932,0.001400783,0.004289208],"category_scores_gemma":[0.02604125,0.001136816,0.002891032,0.005909122,0.002349404,0.004585938,0.003390423,0.004089773,0.002045568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238075,"about_ca_system_score_gemma":0.006269819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006049188,"about_ca_topic_score_gemma":0.006548875,"domain_scores_codex":[0.994691,0.001759572,0.000552327,0.0008122483,0.00194802,0.0002368401],"domain_scores_gemma":[0.9901613,0.006110981,0.0005024898,0.001187488,0.001779387,0.0002583042],"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":[0.000191997,0.0002860103,0.002937357,0.00064062,0.0001965812,0.0003131751,0.0007295467,0.1148917,0.003571801,0.2174788,0.01448419,0.6442782],"study_design_scores_gemma":[0.00008402174,0.0001113173,0.0002327087,0.0001203355,0.00003274989,0.0003714889,0.0001395665,0.784843,0.003102909,0.1933881,0.01751173,0.00006209541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001012062,0.0001436406,0.9974219,0.0001229641,0.00002956206,0.0001117299,0.0001094338,0.0005817346,0.0004671109],"genre_scores_gemma":[0.01167844,0.0001117704,0.9872385,0.00008262385,0.00002280757,0.0001947163,0.0002662711,0.00006206834,0.0003427427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007538153,"threshold_uncertainty_score":0.03986603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053334552154947,"score_gpt":0.2589731668195537,"score_spread":0.2284398212980043,"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."}}