{"id":"W2170699196","doi":"10.1109/ipdps.2009.5161064","title":"A partition-based approach to support streaming updates over persistent data in an active datawarehouse","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tuple; Computer science; Partition (number theory); Overhead (engineering); Exploit; Data warehouse; Data stream; Relation (database); Join (topology); Locality; Distributed computing; Data mining; Parallel computing; Database; Operating system; 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":[0.000232773,0.000152088,0.0001768099,0.0001239617,0.00008360791,0.0001019683,0.0009586809,0.00003174729,0.00002696464],"category_scores_gemma":[0.00003519315,0.0001306692,0.00002690537,0.0003338288,0.00002009325,0.002997492,0.0003289722,0.00008480302,0.00002095068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005375965,"about_ca_system_score_gemma":0.00009919782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770849,"about_ca_topic_score_gemma":0.000369263,"domain_scores_codex":[0.9984087,0.00005356356,0.0002321447,0.0007480076,0.0002511131,0.0003064568],"domain_scores_gemma":[0.9977149,0.00003362586,0.00005462653,0.001995479,0.00003755562,0.0001637979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004550664,0.008562811,0.022522,0.0002212687,0.0001457233,0.0003669947,0.01277422,0.05362047,0.008166033,0.50196,0.0374399,0.3537655],"study_design_scores_gemma":[0.002202328,0.001662878,0.03478401,0.000135716,0.00002572721,0.00003263964,0.003704366,0.8803952,0.005734753,0.0003228171,0.06936299,0.001636597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03480335,0.00000967391,0.9623663,0.0003231232,0.00006289976,0.0003107022,0.0004413824,0.0001767493,0.001505773],"genre_scores_gemma":[0.7670769,0.000001128952,0.2302294,0.001094097,0.00003792064,0.00001738918,0.001474595,0.000007234551,0.00006131544],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8267747,"threshold_uncertainty_score":0.5328534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05806607306893997,"score_gpt":0.3080749926978609,"score_spread":0.2500089196289209,"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."}}