{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009194762,0.000659631,0.0008335595,0.001738825,0.00167205,0.00597976,0.002484025,0.001395005,0.003602246],"category_scores_gemma":[0.01277294,0.00070165,0.002479599,0.002666438,0.005451893,0.01258819,0.00388147,0.00387823,0.001104486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168777,"about_ca_system_score_gemma":0.001738739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167556,"about_ca_topic_score_gemma":0.0008031138,"domain_scores_codex":[0.9921499,0.002726253,0.00115508,0.001284668,0.002368671,0.0003154164],"domain_scores_gemma":[0.9900038,0.005505347,0.0006847448,0.002347066,0.001043127,0.0004159093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002137606,0.0000214975,0.0001827526,0.00007300366,0.00001652428,0.00005239875,0.0002680618,0.001991876,0.0008136031,0.9873696,0.0007066041,0.008482634],"study_design_scores_gemma":[0.00001031906,0.00001757359,0.00005582797,0.00002005421,0.00001040636,0.00008412787,0.0000491363,0.01206711,0.0005956349,0.9794174,0.00765925,0.00001306764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01312358,0.001206443,0.9675691,0.001865507,0.0001124469,0.00009486209,0.0005946875,0.000532236,0.01490112],"genre_scores_gemma":[0.340354,0.001831931,0.6468545,0.001277994,0.0006556034,0.0005581253,0.00162329,0.0002194492,0.006625156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009194762,"threshold_uncertainty_score":0.04862714,"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."}}