{"id":"W2102297485","doi":"10.1145/1132960.1132963","title":"Interestingness measures for data mining","year":2006,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ranking (information retrieval); Data mining; Process (computing); Data science; Measure (data warehouse); Information retrieval","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":[0.01182948,0.002102161,0.00320094,0.01571627,0.001183244,0.005336717,0.003140284,0.002392347,0.004353996],"category_scores_gemma":[0.04178968,0.0007001277,0.002252566,0.01766214,0.003916271,0.0124438,0.002384552,0.004199994,0.002982786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354967,"about_ca_system_score_gemma":0.001849337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007485713,"about_ca_topic_score_gemma":0.0004639476,"domain_scores_codex":[0.9837714,0.004522714,0.001965123,0.002236208,0.007219137,0.0002853557],"domain_scores_gemma":[0.9643875,0.02760815,0.00219629,0.002437723,0.003002548,0.0003678358],"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":[0.00009031595,0.0001143399,0.003197697,0.005828315,0.0003505194,0.0002774609,0.0004287259,0.009012241,0.001398263,0.4541155,0.03452443,0.4906621],"study_design_scores_gemma":[0.00004658729,0.0001428691,0.002716347,0.001786901,0.0001605591,0.001502742,0.0002782932,0.02324318,0.001417747,0.761216,0.20737,0.000118846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004497429,0.259448,0.6963258,0.005523076,0.001767422,0.0008034714,0.002440838,0.001188548,0.02800545],"genre_scores_gemma":[0.1069207,0.1901569,0.6730881,0.003736886,0.009052588,0.003551429,0.005359794,0.0005243137,0.007609311],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01571627,"threshold_uncertainty_score":0.06256104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.295248331531593,"score_gpt":0.4196157088055408,"score_spread":0.1243673772739478,"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."}}