{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834116,0.0009982921,0.001221841,0.002839392,0.0005771033,0.001173293,0.001276333,0.0006530225,0.001099648],"category_scores_gemma":[0.007017578,0.0005550766,0.001196584,0.002423276,0.0003598924,0.001689427,0.0007042217,0.001257811,0.00041048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814402,"about_ca_system_score_gemma":0.00160865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466582,"about_ca_topic_score_gemma":0.01189603,"domain_scores_codex":[0.9990797,0.0001692769,0.0001020262,0.0002190579,0.0003350998,0.00009473431],"domain_scores_gemma":[0.9953687,0.002925411,0.0004858148,0.0003409103,0.0006797331,0.0001994756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006647644,0.0006372739,0.04961707,0.0002115362,0.0003115849,0.0004692155,0.0002280947,0.6021374,0.005351357,0.01191994,0.005636369,0.3228153],"study_design_scores_gemma":[0.000007805726,0.00001664791,0.0004084148,0.000003530268,0.000009148126,0.00002101058,0.000004347841,0.9967777,0.0004334487,0.002167553,0.0001453022,0.00000509492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07532082,0.0004620353,0.9195408,0.000339363,0.00007724589,0.00021736,0.0009165582,0.002366423,0.0007594188],"genre_scores_gemma":[0.7521536,0.000751074,0.2426325,0.0001189055,0.0001370447,0.0003201189,0.002359001,0.00008974376,0.001438028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01466582,"threshold_uncertainty_score":0.02916092,"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."}}