{"id":"W2048442462","doi":"10.1145/2133803.2184450","title":"StreamKM++","year":2012,"lang":"en","type":"article","venue":"ACM Journal of Experimental Algorithmics","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Algorithm; Computer science; Data stream; Tree (set theory); Sample (material); Sampling (signal processing); Streaming algorithm; Cluster analysis; Mathematics; Combinatorics; Upper and lower bounds; Artificial intelligence","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":[0.001416698,0.00220538,0.001638081,0.001827882,0.0008975592,0.004056428,0.006345148,0.001649876,0.03837227],"category_scores_gemma":[0.005814671,0.001442612,0.002260164,0.002772977,0.0007494696,0.005651424,0.004418093,0.002936071,0.03703525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398686,"about_ca_system_score_gemma":0.001826805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00371392,"about_ca_topic_score_gemma":0.00556512,"domain_scores_codex":[0.9979037,0.0002367241,0.0002376502,0.0005688017,0.0008857895,0.0001673569],"domain_scores_gemma":[0.9981711,0.0003088138,0.00009848836,0.000669945,0.0006318412,0.0001197506],"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":[0.0008142507,0.0002171424,0.001295197,0.001073527,0.0001568372,0.0001861348,0.0001931528,0.0287595,0.008816073,0.05227346,0.2879987,0.618216],"study_design_scores_gemma":[0.000370313,0.0001940432,0.0005569643,0.00009858889,0.00005702526,0.0003973061,0.00006130176,0.4190661,0.02349471,0.06423175,0.4913373,0.0001345724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00256059,0.000488618,0.8480858,0.0005317923,0.0006148643,0.0006105235,0.009648777,0.1239257,0.01353335],"genre_scores_gemma":[0.01873788,0.0005400174,0.9210148,0.0008476967,0.0001786903,0.0009624561,0.02571058,0.0124311,0.01957687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03837227,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788303691864616,"score_gpt":0.3083020289660293,"score_spread":0.2804189920473832,"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."}}