{"id":"https://openalex.org/W3133948157","doi":"https://doi.org/10.1145/3437963.3441670","title":"Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains","display_name":"Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains","publication_year":2021,"publication_date":"2021-03-06","ids":{"openalex":"https://openalex.org/W3133948157","doi":"https://doi.org/10.1145/3437963.3441670","mag":"3133948157"},"language":"en","primary_location":{"id":"doi:10.1145/3437963.3441670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437963.3441670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044175309","display_name":"Anna Muratova","orcid":"https://orcid.org/0000-0002-2614-9036"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Anna Muratova","raw_affiliation_strings":["HSE University (National Research University Higher School of Economics), Moscow, Russian Fed"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University (National Research University Higher School of Economics), Moscow, Russian Fed","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044175309"],"corresponding_institution_ids":["https://openalex.org/I118501908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03044834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1113","last_page":"1114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9478999972343445,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9414832592010498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374511361122131},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6966292858123779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6757493019104004},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6002716422080994},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5862554311752319},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5652954578399658},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5540503859519958},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5470371246337891},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5419503450393677},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42955905199050903},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41557201743125916},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0785391628742218}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9414832592010498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374511361122131},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6966292858123779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6757493019104004},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6002716422080994},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5862554311752319},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5652954578399658},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5540503859519958},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5470371246337891},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5419503450393677},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42955905199050903},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41557201743125916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0785391628742218},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3437963.3441670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437963.3441670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6499999761581421,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1822207839","https://openalex.org/W2066100161","https://openalex.org/W2221985475","https://openalex.org/W2230745748","https://openalex.org/W2618851150","https://openalex.org/W2770353754","https://openalex.org/W2783272285","https://openalex.org/W2810511505","https://openalex.org/W2962862931","https://openalex.org/W2985438711","https://openalex.org/W2990919660","https://openalex.org/W3128452405"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4293151273","https://openalex.org/W4224922629"],"abstract_inverted_index":{"There":[0,61],"is":[1,30],"a":[2],"diverse":[3],"variety":[4],"of":[5,15],"demographic":[6,55],"data":[7,16],"that":[8],"can":[9],"be":[10],"analyzed":[11],"with":[12,82,100],"modern":[13],"methods":[14,34,65],"mining":[17],"to":[18,31,51],"achieve":[19],"better":[20],"results.":[21],"On":[22],"the":[23,26,36,44,58,79],"one":[24],"hand,":[25,46],"main":[27],"chosen":[28],"task":[29],"compare":[32],"different":[33,83],"for":[35,87],"next":[37],"event":[38],"prediction":[39],"and":[40,69,72,90],"gender":[41],"prediction,":[42],"on":[43],"other":[45],"we":[47],"pay":[48],"special":[49],"attention":[50],"interpretable":[52,64],"patterns":[53],"describing":[54],"behavior":[56],"in":[57],"studied":[59],"problems.":[60],"were":[62,98],"considered":[63],"as":[66,78],"decision":[67],"trees":[68],"their":[70],"ensembles":[71],"semi-":[73],"or":[74],"non-interpretable":[75],"methods,":[76],"such":[77],"SVM":[80],"method":[81],"customized":[84],"kernels":[85],"tailored":[86],"demographers'":[88],"needs":[89],"neural":[91],"networks,":[92],"respectively.":[93],"The":[94],"best":[95],"accuracy":[96],"results":[97],"obtained":[99],"two-channel":[101],"Convolutional":[102],"Neural":[103],"Networks.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}