{"id":"W2954876873","doi":"10.1109/ccgrid.2019.00075","title":"Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Big data; SPARK (programming language); Computer science; Data science; Variety (cybernetics); Cloud computing; Internet of Things; Knowledge extraction; Data mining; Class (philosophy); The Internet; Wearable computer; Tree (set theory); World Wide Web; 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":[0.004039806,0.0009478285,0.001433018,0.001994094,0.0009523488,0.005886564,0.003191028,0.00225871,0.001268493],"category_scores_gemma":[0.008543276,0.0008455125,0.001164655,0.005040839,0.002880929,0.01053492,0.001621789,0.003302598,0.0005509418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735821,"about_ca_system_score_gemma":0.00199325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031897,"about_ca_topic_score_gemma":0.00602133,"domain_scores_codex":[0.9987858,0.0003739216,0.00007510982,0.0002228975,0.0004129253,0.0001294093],"domain_scores_gemma":[0.9944616,0.003733803,0.0002098624,0.0004372051,0.0009309066,0.0002265387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001385448,0.0004929618,0.009676969,0.001328262,0.0002404461,0.0006167088,0.0006461062,0.1379332,0.0006247691,0.5588063,0.02637892,0.2631168],"study_design_scores_gemma":[0.00001562712,0.00006552014,0.001283327,0.0003599322,0.00003202877,0.0003226629,0.0003646002,0.6079246,0.0003703461,0.3635345,0.02568411,0.00004278115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03150074,0.2283262,0.6510602,0.04962879,0.002140176,0.0004451467,0.0005038569,0.0005410346,0.03585385],"genre_scores_gemma":[0.4280474,0.2665812,0.2867902,0.003966005,0.005514434,0.0005589251,0.000788536,0.0001736661,0.007579698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009031897,"threshold_uncertainty_score":0.02136481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131360487429199,"score_gpt":0.3559637073181163,"score_spread":0.2246032198889173,"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."}}