{"id":"W2963677182","doi":"10.1609/aaai.v33i01.33011495","title":"Constraint-Based Sequential Pattern Mining with Decision Diagrams","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Office of Naval Research","keywords":"Constraint (computer-aided design); Computer science; Data mining; Sequential Pattern Mining; Representation (politics); Projection (relational algebra); Scalability; Hybrid algorithm (constraint satisfaction); Artificial intelligence; Constraint logic programming; Constraint satisfaction; Algorithm; Mathematics; Database","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":[0.0001210378,0.00008806757,0.00008896022,0.00004258212,0.00005668506,0.000205523,0.0005200211,0.00002729848,0.0001318436],"category_scores_gemma":[0.000005265611,0.00006370492,0.00002479101,0.0001931601,0.00003381706,0.0002294402,0.00009764401,0.00005417168,0.0002902015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232863,"about_ca_system_score_gemma":0.0000874219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004281838,"about_ca_topic_score_gemma":0.00002912397,"domain_scores_codex":[0.9991669,0.00001095749,0.000118716,0.0003289554,0.0001997768,0.0001746592],"domain_scores_gemma":[0.9991727,0.0001154604,0.00004349193,0.0005577837,0.00004032033,0.00007022503],"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":[0.000001957139,0.00004298715,0.006364161,0.000003518938,0.00000690956,0.000007000027,0.00007186,0.0001302513,0.000234818,0.006897368,0.0007420692,0.9854971],"study_design_scores_gemma":[0.00120956,0.0002549455,0.005587037,0.00008693057,0.000007466555,0.00003220528,0.0001173099,0.9810916,0.002678087,0.0003381555,0.008217002,0.0003797328],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1100604,0.000003473402,0.8868565,0.0003956062,0.00009720767,0.0001106403,0.000006881164,0.0001270047,0.002342302],"genre_scores_gemma":[0.5953461,3.329317e-7,0.4040786,0.0003795322,0.00001772428,0.00001138256,0.00001234518,0.000004725268,0.0001492304],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9851174,"threshold_uncertainty_score":0.373005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324646330679588,"score_gpt":0.2416520870841558,"score_spread":0.2284056237773599,"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."}}