{"id":"W2519502568","doi":"10.1145/2938503.2938535","title":"Clickstream Prediction Using Sequential Stream Mining Techniques with Markov Chains","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clickstream; Computer science; Markov chain; Data mining; Data stream; Data stream mining; Web mining; Purchasing; Machine learning; Artificial intelligence; Web page; Web navigation; 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":[0.0001410739,0.0001138236,0.00009119372,0.00008257342,0.0001410985,0.0001157577,0.0004080401,0.00004564433,0.0000230941],"category_scores_gemma":[0.000007936722,0.0000684495,0.00002433926,0.0002446157,0.00005669588,0.0006463984,0.0001564001,0.00003944111,0.00000818362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005169715,"about_ca_system_score_gemma":0.00006654862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009340254,"about_ca_topic_score_gemma":0.00001727728,"domain_scores_codex":[0.9990869,0.00001850299,0.0001570513,0.000370532,0.0001509199,0.0002161134],"domain_scores_gemma":[0.9992369,0.00003666839,0.00007165319,0.0005189843,0.00005952593,0.00007626876],"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":[0.000004038795,0.00007055305,0.002543719,0.000003674152,0.00002096787,0.000004140389,0.0001354555,0.000002639269,0.01046668,0.009324036,0.001271436,0.9761527],"study_design_scores_gemma":[0.002585758,0.001737279,0.009179864,0.001022174,0.0001247291,0.000742947,0.0006166939,0.5668334,0.3521366,0.001507668,0.06144939,0.002063505],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03669652,0.000003942701,0.9587591,0.0004547333,0.00005639853,0.0001283053,0.00003918354,0.0005721276,0.003289666],"genre_scores_gemma":[0.2710006,0.000009354286,0.7277533,0.00006888086,0.0001394424,0.00003571208,0.000007966342,0.0000110004,0.0009737886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9740891,"threshold_uncertainty_score":0.279129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219784283263813,"score_gpt":0.2613637591163829,"score_spread":0.2391659162837448,"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."}}