{"id":"https://openalex.org/W4385236320","doi":"https://doi.org/10.1109/cbi58679.2023.10187535","title":"Time-Aware Data Profiling With Decision Tree Pattern Mining","display_name":"Time-Aware Data Profiling With Decision Tree Pattern Mining","publication_year":2023,"publication_date":"2023-06-21","ids":{"openalex":"https://openalex.org/W4385236320","doi":"https://doi.org/10.1109/cbi58679.2023.10187535"},"language":"en","primary_location":{"id":"doi:10.1109/cbi58679.2023.10187535","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cbi58679.2023.10187535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th Conference on Business Informatics (CBI)","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/A5045150447","display_name":"Alexander Grote","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Grote","raw_affiliation_strings":["FZI Forschungszentrum Informatik,Information Process Engineering,Karlsruhe,Germany","Information Process Engineering, FZI Forschungszentrum Informatik, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FZI Forschungszentrum Informatik,Information Process Engineering,Karlsruhe,Germany","institution_ids":["https://openalex.org/I143379178"]},{"raw_affiliation_string":"Information Process Engineering, FZI Forschungszentrum Informatik, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114069314","display_name":"Wolfgang Badwitz","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Badwitz","raw_affiliation_strings":["FZI Forschungszentrum Informatik,Information Process Engineering,Karlsruhe,Germany","Information Process Engineering, FZI Forschungszentrum Informatik, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FZI Forschungszentrum Informatik,Information Process Engineering,Karlsruhe,Germany","institution_ids":["https://openalex.org/I143379178"]},{"raw_affiliation_string":"Information Process Engineering, FZI Forschungszentrum Informatik, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035239622","display_name":"Michael Thomas Knierim","orcid":"https://orcid.org/0000-0001-7148-5138"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Thomas Knierim","raw_affiliation_strings":["Institute of Information Systems &#x0026; Marketing, Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems &#x0026; Marketing, Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021007726","display_name":"Christof Weinhardt","orcid":"https://orcid.org/0000-0002-7945-4077"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christof Weinhardt","raw_affiliation_strings":["Institute of Information Systems &#x0026; Marketing, Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems &#x0026; Marketing, Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045150447"],"corresponding_institution_ids":["https://openalex.org/I143379178"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67049003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.998199999332428,"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/profiling","display_name":"Profiling (computer programming)","score":0.814792811870575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7561687231063843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7294435501098633},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7286105155944824},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5631572008132935},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.47810500860214233},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4744357168674469},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4197462201118469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3946353495121002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32001060247421265}],"concepts":[{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.814792811870575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561687231063843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7294435501098633},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7286105155944824},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5631572008132935},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.47810500860214233},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4744357168674469},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4197462201118469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3946353495121002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32001060247421265},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbi58679.2023.10187535","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cbi58679.2023.10187535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th Conference on Business Informatics (CBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W150605953","https://openalex.org/W760598031","https://openalex.org/W1484413656","https://openalex.org/W1493189047","https://openalex.org/W1869362176","https://openalex.org/W1987787956","https://openalex.org/W2032987837","https://openalex.org/W2085866051","https://openalex.org/W2087189381","https://openalex.org/W2099404336","https://openalex.org/W2106895292","https://openalex.org/W2110065044","https://openalex.org/W2143991132","https://openalex.org/W2155974454","https://openalex.org/W2167036165","https://openalex.org/W2170963089","https://openalex.org/W2244109919","https://openalex.org/W2294798173","https://openalex.org/W2516809705","https://openalex.org/W2552178666","https://openalex.org/W2599043313","https://openalex.org/W2605253252","https://openalex.org/W2766736793","https://openalex.org/W2898158860","https://openalex.org/W2907251284","https://openalex.org/W2962862931","https://openalex.org/W2997709717","https://openalex.org/W3139384714","https://openalex.org/W4220923188","https://openalex.org/W4249116379","https://openalex.org/W4252403066","https://openalex.org/W4293343253","https://openalex.org/W4297957988","https://openalex.org/W6606168889","https://openalex.org/W6628750762","https://openalex.org/W6676014748","https://openalex.org/W6682610290","https://openalex.org/W6737947904","https://openalex.org/W6755672337"],"related_works":["https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W2350430350","https://openalex.org/W2623725391","https://openalex.org/W102063058"],"abstract_inverted_index":{"Data":[0],"quality":[1],"issues":[2],"can":[3],"lead":[4],"to":[5,16,80],"significant":[6,82],"financial":[7],"losses,":[8],"which":[9,101],"necessitates":[10],"the":[11,18,40,69],"use":[12],"of":[13,21,73],"data":[14,31,120],"profiling":[15,32],"monitor":[17],"statistical":[19],"properties":[20],"datasets":[22],"and":[23,54,122],"detect":[24],"harmful":[25],"deviations":[26],"early.":[27],"However,":[28],"many":[29],"existing":[30],"solutions":[33],"cannot":[34],"perform":[35],"multi-column":[36],"feature":[37],"analysis.":[38],"On":[39],"other":[41],"hand,":[42],"machine":[43],"learning":[44],"algorithms,":[45],"particularly":[46],"decision":[47,74],"trees,":[48],"are":[49],"effective":[50],"at":[51],"discovering":[52],"non-linear":[53],"multivariate":[55],"patterns":[56],"within":[57],"tabular":[58],"data.":[59,85],"In":[60],"this":[61],"study,":[62],"we":[63],"propose":[64],"a":[65,91,95,103,108],"framework":[66,89,117],"that":[67,115],"combines":[68],"interpretable":[70,124],"pattern-mining":[71],"capabilities":[72],"trees":[75],"with":[76],"time":[77],"series":[78],"forecasting":[79],"identify":[81],"changes":[83,121],"in":[84,99],"We":[86],"evaluate":[87],"our":[88,116],"on":[90],"real-world":[92],"dataset":[93],"from":[94,107],"leading":[96],"telecommunications":[97],"provider":[98],"Germany,":[100],"includes":[102],"known":[104],"anomaly":[105],"resulting":[106],"faulty":[109],"database":[110],"entry.":[111],"Our":[112],"results":[113],"indicate":[114],"successfully":[118],"detects":[119],"provides":[123],"descriptions":[125],"for":[126,132],"each":[127],"anomaly,":[128],"highlighting":[129],"its":[130],"relevancy":[131],"practitioners.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
