{"id":"W2155880472","doi":"10.1109/ideas.2006.52","title":"Visualization of Web Usage Patterns","year":2006,"lang":"en","type":"article","venue":"Proceedings - International Database Engineering and Applications Symposium","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Cluster analysis; Data mining; Visualization; Multidimensional scaling; Rendering (computer graphics); Fidelity; Data visualization; Fuzzy logic; Fuzzy clustering; Relational database; Web mining; Machine learning; Artificial intelligence; Web page; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001479552,0.0001165036,0.00009728293,0.0002379226,0.00005817171,0.0001160393,0.000522667,0.00003195644,0.000004947098],"category_scores_gemma":[0.00002114914,0.0001259501,0.00002388043,0.0003170367,0.00002351717,0.000624242,0.0003141217,0.00008531069,0.00000519923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504567,"about_ca_system_score_gemma":0.00001626981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002721816,"about_ca_topic_score_gemma":7.192307e-7,"domain_scores_codex":[0.9989638,0.000002494241,0.0002441403,0.0003178812,0.0003081567,0.0001634806],"domain_scores_gemma":[0.9994286,0.00004326192,0.00008771061,0.000164161,0.0002211406,0.00005508335],"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":[0.000004736715,0.0001611932,0.003471131,0.0002631672,0.0000328774,0.000001656646,0.00008585097,0.00574739,0.4002951,0.5865011,0.0003059732,0.003129816],"study_design_scores_gemma":[0.0003237513,0.00002245718,0.001589389,0.00008832604,0.000006503567,0.00003515727,0.00001436687,0.9411384,0.03103037,0.0004478816,0.02507791,0.0002254823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01263908,0.00005303651,0.9851776,0.0002799649,0.00008131301,0.0001992384,0.00008988171,0.0001876531,0.001292262],"genre_scores_gemma":[0.9418232,0.0001545124,0.05701363,0.00001891902,0.0002710337,0.0002699102,0.0001478591,0.00002178699,0.0002791361],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.935391,"threshold_uncertainty_score":0.5136095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007642618741154016,"score_gpt":0.2596716410908149,"score_spread":0.2520290223496608,"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."}}