{"id":"W1971604907","doi":"10.1145/1189769.1189770","title":"Expressive power of an algebra for data mining","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Tuple; Relational algebra; Data mining; Data model (GIS); Relational database; Information retrieval; Theoretical computer science; Algebra over a field; Artificial intelligence; Mathematics; Discrete 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003591967,0.0001404445,0.0001894599,0.0001261665,0.0002046735,0.0001267275,0.002605393,0.00004701279,0.000009120196],"category_scores_gemma":[0.00003186288,0.000134139,0.00004006085,0.0002954049,0.00004150104,0.001256143,0.00006890023,0.00007757649,0.0000126746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590152,"about_ca_system_score_gemma":0.00006219418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006514125,"about_ca_topic_score_gemma":0.00004110582,"domain_scores_codex":[0.9985142,0.00004759452,0.0003683181,0.0006161127,0.0002363205,0.0002174215],"domain_scores_gemma":[0.9948097,0.000276077,0.0001555416,0.004597069,0.00008547681,0.00007614528],"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":[0.0001548535,0.006476794,0.00008766302,0.0008400878,0.00054158,0.00005567795,0.0027321,0.009246011,0.04703939,0.1130869,0.1001784,0.7195606],"study_design_scores_gemma":[0.001605773,0.000411531,0.0001456563,0.0003625962,0.00009316498,0.00008052662,0.001110057,0.8852735,0.01609745,0.0005072441,0.09357873,0.0007337999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004055239,0.00008250077,0.9862648,0.0001490926,0.0003580807,0.0004036647,0.008426124,0.0001220808,0.0001384395],"genre_scores_gemma":[0.33108,0.000005790021,0.6659688,0.00003637202,0.00009165509,0.0002497769,0.002330715,0.00002191763,0.0002150109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8760275,"threshold_uncertainty_score":0.5470028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314760138777388,"score_gpt":0.2949769826758806,"score_spread":0.2518293812881067,"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."}}