{"id":"https://openalex.org/W2769733310","doi":"https://doi.org/10.1109/indin.2017.8104877","title":"Grid-based outlier detection in large data sets for combine harvesters","display_name":"Grid-based outlier detection in large data sets for combine harvesters","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2769733310","doi":"https://doi.org/10.1109/indin.2017.8104877","mag":"2769733310"},"language":"en","primary_location":{"id":"doi:10.1109/indin.2017.8104877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2017.8104877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101875880","display_name":"Ying Gu","orcid":"https://orcid.org/0000-0001-6501-302X"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ying Gu","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004070923","display_name":"Ram Kumar Ganesan","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ram Kumar Ganesan","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033808296","display_name":"Benjamin Bischke","orcid":"https://orcid.org/0000-0002-6473-3348"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Bischke","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062260451","display_name":"Ansgar Bernardi","orcid":"https://orcid.org/0009-0003-0868-7775"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ansgar Bernardi","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040252856","display_name":"Alexander Maier","orcid":"https://orcid.org/0000-0002-7250-502X"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Maier","raw_affiliation_strings":["Fraunhofer-Application Center Industrial Automation (IOSB-INA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer-Application Center Industrial Automation (IOSB-INA)","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039842940","display_name":"Heinrich Warkentin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heinrich Warkentin","raw_affiliation_strings":["CLAAS E-Systems KGaA mbH & Co KG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLAAS E-Systems KGaA mbH & Co KG","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038498045","display_name":"Thilo Steckel","orcid":"https://orcid.org/0000-0003-2323-3432"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thilo Steckel","raw_affiliation_strings":["CLAAS E-Systems KGaA mbH & Co KG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLAAS E-Systems KGaA mbH & Co KG","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101904182","display_name":"Andreas Dengel","orcid":"https://orcid.org/0000-0002-6100-8255"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Dengel","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"811","last_page":"818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T10876","display_name":"Fault Detection and Control Systems","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8902966976165771},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8374949097633362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7412732839584351},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5893265604972839},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5832123756408691},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5212631821632385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4752494990825653},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46011075377464294},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.45677465200424194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4323112368583679},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.42302900552749634},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41254380345344543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36166149377822876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2005644142627716}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8902966976165771},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8374949097633362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412732839584351},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5893265604972839},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5832123756408691},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5212631821632385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4752494990825653},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46011075377464294},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.45677465200424194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4323112368583679},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.42302900552749634},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41254380345344543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36166149377822876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2005644142627716},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/indin.2017.8104877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2017.8104877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-502497","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-502497.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/401245","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/401245","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W159679537","https://openalex.org/W185667226","https://openalex.org/W204779855","https://openalex.org/W1040703543","https://openalex.org/W1506408510","https://openalex.org/W1530232915","https://openalex.org/W1545675898","https://openalex.org/W1584412742","https://openalex.org/W1672197616","https://openalex.org/W1938740620","https://openalex.org/W1977556410","https://openalex.org/W2061122559","https://openalex.org/W2117673627","https://openalex.org/W2122646361","https://openalex.org/W2127481958","https://openalex.org/W2144182447","https://openalex.org/W2165558283","https://openalex.org/W2338990760","https://openalex.org/W2482589566","https://openalex.org/W2575190071","https://openalex.org/W2579103735","https://openalex.org/W4244494905","https://openalex.org/W4254182148","https://openalex.org/W4254420769","https://openalex.org/W6608289497","https://openalex.org/W6632638913","https://openalex.org/W6677470400"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2069592018","https://openalex.org/W2357409937","https://openalex.org/W2075740387","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Outlier":[0,58],"detection":[1],"is":[2,89,118,125,136],"one":[3],"of":[4,19,38,99,105,111],"the":[5,39,63,86,103,106,109],"most":[6],"widely":[7],"used":[8,119],"technique":[9],"to":[10,61,72,80,94,120,138,145],"identify":[11],"abnormal":[12,20],"behavior":[13],"in":[14,66,113],"raw":[15],"data.":[16],"The":[17,149],"sense":[18],"deviation":[21],"mentioned":[22],"here":[23],"accounts":[24],"not":[25],"only":[26,81],"for":[27,157],"human":[28],"made":[29],"or":[30,128],"system":[31],"errors":[32],"that":[33,140],"naturally":[34],"occur":[35],"as":[36,43],"part":[37],"data":[40,68,147,159],"but":[41],"also":[42],"seldomly":[44],"occuring":[45],"events.":[46],"In":[47,70,130],"this":[48,134,153],"paper,":[49],"we":[50],"propose":[51],"a":[52,114,123,131],"new":[53],"algorithm":[54,88,154],"called":[55],"Grid":[56],"Based":[57],"Detection":[59],"(GBOD)":[60],"find":[62],"hidden":[64],"outliers":[65,100],"large":[67,158],"sets.":[69,160],"contrast":[71],"existing":[73],"grid":[74,116],"based":[75,84],"methods":[76],"which":[77],"are":[78],"limited":[79],"some":[82],"statistical":[83],"approaches,":[85],"GBOD":[87],"raised":[90],"with":[91],"two":[92],"alternations":[93],"figure":[95],"out":[96],"different":[97],"range":[98],"depending":[101],"on":[102],"interest":[104],"user.":[107],"First,":[108],"number":[110],"points":[112],"local":[115],"cell":[117],"decide":[121],"whether":[122],"point":[124],"an":[126,142],"outlier":[127,143],"not.":[129],"second":[132],"step,":[133],"approach":[135],"extended":[137],"method":[139],"assigns":[141],"score":[144],"each":[146],"point.":[148],"simple":[150],"design":[151],"makes":[152],"extremely":[155],"efficient":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}