{"id":"https://openalex.org/W4306317690","doi":"https://doi.org/10.1145/3511808.3557257","title":"Change Detection for Local Explainability in Evolving Data Streams","display_name":"Change Detection for Local Explainability in Evolving Data Streams","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317690","doi":"https://doi.org/10.1145/3511808.3557257"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557257","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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/A5071493719","display_name":"Johannes Haug","orcid":"https://orcid.org/0000-0003-1286-3551"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Johannes Haug","raw_affiliation_strings":["University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015240928","display_name":"Alexander Braun","orcid":"https://orcid.org/0000-0002-8358-0578"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Braun","raw_affiliation_strings":["University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028990579","display_name":"Stefan Z\u00fcrn","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Z\u00fcrn","raw_affiliation_strings":["University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024434748","display_name":"Gjergji Kasneci","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gjergji Kasneci","raw_affiliation_strings":["University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071493719"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":1.4552,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84243697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"706","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9783999919891357,"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/attribution","display_name":"Attribution","score":0.8000969886779785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7837457656860352},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.7529736757278442},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5837181210517883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5639743804931641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4895840585231781},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4745498597621918},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.45765814185142517},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4246848225593567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3618539571762085},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0819653570652008}],"concepts":[{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.8000969886779785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837457656860352},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.7529736757278442},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5837181210517883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5639743804931641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4895840585231781},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4745498597621918},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.45765814185142517},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4246848225593567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3618539571762085},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0819653570652008},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557257","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W182707955","https://openalex.org/W639218804","https://openalex.org/W1525647652","https://openalex.org/W1585854823","https://openalex.org/W2015627422","https://openalex.org/W2052283750","https://openalex.org/W2095897464","https://openalex.org/W2140164381","https://openalex.org/W2143991132","https://openalex.org/W2187089797","https://openalex.org/W2244109919","https://openalex.org/W2282821441","https://openalex.org/W2517990807","https://openalex.org/W2533585993","https://openalex.org/W2605253252","https://openalex.org/W2747747656","https://openalex.org/W2751686959","https://openalex.org/W2761114781","https://openalex.org/W2795767639","https://openalex.org/W2847284300","https://openalex.org/W2891503716","https://openalex.org/W2963991843","https://openalex.org/W2964303497","https://openalex.org/W2981731882","https://openalex.org/W3021596612","https://openalex.org/W3036781224","https://openalex.org/W3080633080","https://openalex.org/W3104788453","https://openalex.org/W3105628676","https://openalex.org/W3134080822","https://openalex.org/W3146613606","https://openalex.org/W3161172664","https://openalex.org/W3168794733","https://openalex.org/W3192857914"],"related_works":["https://openalex.org/W2253527885","https://openalex.org/W4246591448","https://openalex.org/W2574092225","https://openalex.org/W4285492980","https://openalex.org/W2026324356","https://openalex.org/W2964491809","https://openalex.org/W1485530964","https://openalex.org/W2545008743","https://openalex.org/W4323072990","https://openalex.org/W4297675879"],"abstract_inverted_index":{"As":[0,59],"complex":[1],"machine":[2,218],"learning":[3],"models":[4],"are":[5],"increasingly":[6],"used":[7],"in":[8,48,70,124,216],"sensitive":[9],"applications":[10],"like":[11],"banking,":[12],"trading":[13],"or":[14,112],"credit":[15],"scoring,":[16],"there":[17],"is":[18,63,110],"a":[19,32,45,60,135,155,210],"growing":[20],"demand":[21],"for":[22,35,160],"reliable":[23],"explanation":[24,175],"mechanisms.":[25],"Local":[26],"feature":[27,93,122],"attribution":[28,41],"methods":[29,42],"have":[30],"become":[31,103],"popular":[33],"technique":[34],"post-hoc":[36],"and":[37,56,78,142,157,164,182,201,213],"model-agnostic":[38,158],"explanations.":[39],"However,":[40],"typically":[43],"assume":[44],"stationary":[46],"environment":[47],"which":[49],"the":[50,86,107,116,193],"predictive":[51,108],"model":[52,109],"has":[53],"been":[54],"trained":[55],"remains":[57],"stable.":[58],"result,":[61],"it":[62],"often":[64],"unclear":[65],"how":[66],"local":[67,92,100,121,145,162,180,200],"attributions":[68,101,123,181],"behave":[69],"realistic,":[71],"constantly":[72],"evolving":[73],"settings":[74],"such":[75],"as":[76,169],"streaming":[77],"online":[79,217],"applications.":[80],"In":[81,95,187],"this":[82,150],"paper,":[83],"we":[84,97,152,189],"discuss":[85],"impact":[87],"of":[88,173],"temporal":[89],"change":[90,163],"on":[91],"attributions.":[94],"particular,":[96],"show":[98,191],"that":[99,137,192],"can":[102,196],"obsolete":[104],"each":[105],"time":[106],"updated":[111],"concept":[113,165,203],"drift":[114],"alters":[115],"data":[117,125],"generating":[118],"distribution.":[119],"Consequently,":[120],"streams":[126],"provide":[127],"high":[128],"explanatory":[129],"power":[130],"only":[131],"when":[132],"combined":[133],"with":[134],"mechanism":[136],"allows":[138],"us":[139],"to":[140,144,177,209],"detect":[141,198],"respond":[143],"changes":[146],"over":[147],"time.":[148],"To":[149],"end,":[151],"present":[153],"CDLEEDS,":[154],"flexible":[156],"framework":[159,195],"detecting":[161],"drift.":[166,204],"CDLEEDS":[167],"serves":[168],"an":[170],"intuitive":[171],"extension":[172],"attribution-based":[174],"techniques":[176],"identify":[178],"outdated":[179],"enable":[183],"more":[184,211],"targeted":[185],"recalculations.":[186],"experiments,":[188],"also":[190],"proposed":[194],"reliably":[197],"both":[199],"global":[202],"Accordingly,":[205],"our":[206],"work":[207],"contributes":[208],"meaningful":[212],"robust":[214],"explainability":[215],"learning.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}