{"id":"W3147966060","doi":"10.1109/ideas.2007.4318084","title":"Adaptive Execution of Stream Window Joins in a Limited Memory Environment","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Joins; Data stream mining; Sliding window protocol; Data stream; Window (computing); Parallel computing; Distributed computing; Volume (thermodynamics); Real-time computing; Algorithm; Data mining; Operating system","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":[0.001436801,0.000412069,0.0005585364,0.0003937105,0.0005309148,0.0009118984,0.001186489,0.0003772513,0.0008758528],"category_scores_gemma":[0.003986547,0.0003091012,0.0002971106,0.0005218608,0.0004098266,0.001258485,0.001178443,0.0004514283,0.0002265633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766539,"about_ca_system_score_gemma":0.0004737435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007158455,"about_ca_topic_score_gemma":0.0008472428,"domain_scores_codex":[0.999111,0.0002005009,0.00008627021,0.0002112507,0.0003046751,0.00008635985],"domain_scores_gemma":[0.9980909,0.000867418,0.0001669346,0.0004627791,0.0002422156,0.0001696804],"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":[0.006147852,0.0006754895,0.0166023,0.0003242531,0.000233067,0.001172303,0.001193155,0.2346313,0.2507927,0.02462433,0.003934247,0.4596691],"study_design_scores_gemma":[0.0001242745,0.0002235741,0.001011554,0.000007303232,0.00003070122,0.0001507219,0.00006627746,0.9475493,0.04371355,0.004684108,0.002423162,0.00001542224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3941822,0.00044756,0.6002518,0.00009703072,0.0000648843,0.0001119948,0.00009201853,0.002850499,0.001901927],"genre_scores_gemma":[0.7895462,0.0001815425,0.2082081,0.00003358192,0.00004552361,0.00009556642,0.0002660424,0.0001633162,0.001460015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001436801,"threshold_uncertainty_score":0.007598639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546929383489865,"score_gpt":0.2254680909238218,"score_spread":0.2099987970889232,"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."}}