{"id":"https://openalex.org/W4285389264","doi":"https://doi.org/10.1145/3548775","title":"Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability","display_name":"Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability","publication_year":2022,"publication_date":"2022-07-14","ids":{"openalex":"https://openalex.org/W4285389264","doi":"https://doi.org/10.1145/3548775"},"language":"en","primary_location":{"id":"doi:10.1145/3548775","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3548775","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5102717748","display_name":"Shaohan Chen","orcid":"https://orcid.org/0000-0001-6843-2027"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaohan Chen","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067163066","display_name":"Chuanhou Gao","orcid":"https://orcid.org/0000-0001-9030-2042"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhou Gao","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056463423","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0003-3034-3576"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102717748"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.5914,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85671065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9987000226974487,"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":0.9987000226974487,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9879999756813049,"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":0.9771301746368408},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8141929507255554},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7505910992622375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496306896209717},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7428522706031799},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.7164414525032043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5613648891448975},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5262094140052795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5124852657318115},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.4663711190223694},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45165809988975525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4283445477485657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4054945111274719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14466330409049988},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.08773237466812134}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9771301746368408},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8141929507255554},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7505910992622375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496306896209717},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7428522706031799},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.7164414525032043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5613648891448975},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5262094140052795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5124852657318115},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.4663711190223694},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45165809988975525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4283445477485657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4054945111274719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14466330409049988},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.08773237466812134},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3548775","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3548775","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2851481273","display_name":null,"funder_award_id":"12071428 and 62111530247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W83112366","https://openalex.org/W1584120419","https://openalex.org/W1849277567","https://openalex.org/W1915035115","https://openalex.org/W1966517947","https://openalex.org/W1989789052","https://openalex.org/W1996796871","https://openalex.org/W2004074725","https://openalex.org/W2005530747","https://openalex.org/W2007225222","https://openalex.org/W2015140204","https://openalex.org/W2027016019","https://openalex.org/W2039813705","https://openalex.org/W2040055947","https://openalex.org/W2046862341","https://openalex.org/W2054652204","https://openalex.org/W2070041684","https://openalex.org/W2077857582","https://openalex.org/W2090313502","https://openalex.org/W2102131386","https://openalex.org/W2109402618","https://openalex.org/W2112116045","https://openalex.org/W2125406789","https://openalex.org/W2129894900","https://openalex.org/W2131064753","https://openalex.org/W2137611688","https://openalex.org/W2143956139","https://openalex.org/W2151554678","https://openalex.org/W2153635508","https://openalex.org/W2158196600","https://openalex.org/W2163332437","https://openalex.org/W2163463863","https://openalex.org/W2167025280","https://openalex.org/W2168605133","https://openalex.org/W2168977355","https://openalex.org/W2171096262","https://openalex.org/W2282821441","https://openalex.org/W2329414964","https://openalex.org/W2369795665","https://openalex.org/W2522925973","https://openalex.org/W2551974706","https://openalex.org/W2565304260","https://openalex.org/W2731142262","https://openalex.org/W2786941107","https://openalex.org/W2893960396","https://openalex.org/W2910705748","https://openalex.org/W2963847595","https://openalex.org/W2972878726","https://openalex.org/W3003728721","https://openalex.org/W3006181408","https://openalex.org/W3031321468","https://openalex.org/W3144619878","https://openalex.org/W3199810803","https://openalex.org/W3202445451","https://openalex.org/W4230674625","https://openalex.org/W4235178178","https://openalex.org/W6639894262","https://openalex.org/W7019493004"],"related_works":["https://openalex.org/W2797441709","https://openalex.org/W2346578521","https://openalex.org/W4297660007","https://openalex.org/W4377704659","https://openalex.org/W2886918272","https://openalex.org/W4387589990","https://openalex.org/W2943982549","https://openalex.org/W3101055019","https://openalex.org/W2910028250","https://openalex.org/W4241566321"],"abstract_inverted_index":{"The":[0,44,122],"lack":[1],"of":[2,49,151,164],"interpretability":[3],"often":[4],"makes":[5],"black-box":[6,24,35],"models":[7],"challenging":[8],"to":[9,29,39,109],"be":[10],"applied":[11],"in":[12,162],"many":[13],"practical":[14],"domains.":[15],"For":[16],"this":[17],"reason,":[18],"the":[19,23,34,75,112,133,149,152,157],"current":[20],"work,":[21],"from":[22,91],"model":[25,38,67],"input":[26],"port,":[27],"proposes":[28],"incorporate":[30],"data-mined":[31,50],"knowledge":[32,51,90],"into":[33],"soft-margin":[36,61,159],"SVM":[37,62,160],"enhance":[40],"accuracy":[41,165],"and":[42,46,70,111,138,166],"interpretability.":[43,167],"concept":[45],"incorporation":[47],"mechanism":[48],"are":[52],"successively":[53],"developed,":[54],"based":[55],"on":[56,144],"which":[57,98],"a":[58,100,129],"partially":[59],"interpretable":[60],"(":[63],"pTsm":[64,124,154],"-SVM)":[65],"optimization":[66,76],"is":[68,95],"designed":[69],"then":[71],"solved":[72],"through":[73],"reformulating":[74],"problem":[77],"as":[78],"standard":[79,158],"quadratic":[80],"programming.":[81],"An":[82],"algorithm":[83],"for":[84],"mining":[85],"linear":[86,101],"positive":[87],"(negative)":[88],"class":[89],"general":[92],"data":[93],"sets":[94],"also":[96],"proposed,":[97],"generates":[99],"two-dimensional":[102,119],"discriminative":[103],"rule":[104],"with":[105],"specificity":[106],"(sensitivity)":[107],"equal":[108],"1":[110],"highest":[113],"possible":[114],"sensitivity":[115],"(specificity)":[116],"among":[117,132],"all":[118],"feature":[120],"spaces.":[121],"knowledge-integrated":[123],"-SVM":[125,155],"works":[126],"by":[127],"achieving":[128],"good":[130],"trade-off":[131],"\u201clarge":[134],"margin\u201d,":[135],"\u201chigh":[136,139],"specificity\u201d,":[137],"sensitivity\u201d.":[140],"Our":[141],"experimental":[142],"results":[143],"eight":[145],"UCI":[146],"datasets":[147],"demonstrate":[148],"superiority":[150],"proposed":[153],"over":[156],"both":[161],"terms":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}