{"id":"W1011630013","doi":"10.1016/b978-0-12-381479-1.00007-1","title":"Advanced Pattern Mining","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data mining; Computer science; K-optimal pattern discovery; Outlier; Association rule learning; Cluster analysis; Ambiguity; Process (computing); Artificial intelligence","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":[0.0007872847,0.001796186,0.001460494,0.003308296,0.0006462942,0.002902979,0.00176081,0.00105437,0.09935342],"category_scores_gemma":[0.002038835,0.001068564,0.001273271,0.005405377,0.0004640172,0.003945721,0.002075324,0.001838413,0.09980872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653905,"about_ca_system_score_gemma":0.0008354974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000604555,"about_ca_topic_score_gemma":0.001191023,"domain_scores_codex":[0.9993735,0.00004615266,0.00005331211,0.0001848049,0.0003090343,0.00003327274],"domain_scores_gemma":[0.999173,0.0002618078,0.00003729099,0.0002687764,0.0002081228,0.00005104911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001711496,0.00003482304,0.0001834488,0.000374871,0.00002702167,0.00007079694,0.00004342485,0.0007069054,0.003188381,0.008329215,0.109072,0.877952],"study_design_scores_gemma":[0.00001672737,0.0000732823,0.001253176,0.0003615071,0.0000632238,0.001561846,0.00006825368,0.01605089,0.008236818,0.07039033,0.9018841,0.00003983359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003933369,0.0249344,0.7349195,0.002488054,0.00254444,0.0003682884,0.004550016,0.01441642,0.2118455],"genre_scores_gemma":[0.01278357,0.02295017,0.4569124,0.001057313,0.00114912,0.0003468376,0.01310889,0.001859764,0.489832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09935342,"threshold_uncertainty_score":0.3323703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194505891054347,"score_gpt":0.2459399574837682,"score_spread":0.2264893683783335,"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."}}