{"id":"https://openalex.org/W2035098389","doi":"https://doi.org/10.1002/widm.4","title":"Multivariate image mining","display_name":"Multivariate image mining","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2035098389","doi":"https://doi.org/10.1002/widm.4","mag":"2035098389"},"language":"en","primary_location":{"id":"doi:10.1002/widm.4","is_oa":false,"landing_page_url":"https://doi.org/10.1002/widm.4","pdf_url":null,"source":{"id":"https://openalex.org/S2505707916","display_name":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","issn_l":"1942-4787","issn":["1942-4787","1942-4795"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"WIREs Data Mining and Knowledge Discovery","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/A5033475215","display_name":"Julia Herold","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julia Herold","raw_affiliation_strings":["Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006052024","display_name":"Christian Loyek","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Loyek","raw_affiliation_strings":["Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033485866","display_name":"Tim W. Nattkemper","orcid":"https://orcid.org/0000-0002-7986-1158"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tim W. Nattkemper","raw_affiliation_strings":["Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033485866"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":4070,"currency":"USD","value_usd":4070},"apc_paid":null,"fwci":4.5713,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93866976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":"1","first_page":"2","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7305783033370972},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7076229453086853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6257003545761108},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5671573877334595},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5256163477897644},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4922420084476471},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4775165617465973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4315916895866394},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42497214674949646},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.41187116503715515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3833441436290741},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35503315925598145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22985276579856873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2019951343536377}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7305783033370972},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7076229453086853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6257003545761108},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5671573877334595},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5256163477897644},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4922420084476471},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4775165617465973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4315916895866394},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42497214674949646},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.41187116503715515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3833441436290741},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35503315925598145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22985276579856873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2019951343536377},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/widm.4","is_oa":false,"landing_page_url":"https://doi.org/10.1002/widm.4","pdf_url":null,"source":{"id":"https://openalex.org/S2505707916","display_name":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","issn_l":"1942-4787","issn":["1942-4787","1942-4795"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"WIREs Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:pub.librecat.org:2373808","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2373808","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Herold J, Loyek C, Nattkemper TW. Multivariate Image Mining. &lt;em&gt;Wiley Interdisciplinary Reviews: DATA MINING AND KNOWLEDGE DISCOVERY&lt;/em&gt;. 2011;1(1):2-13.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W89283330","https://openalex.org/W98797825","https://openalex.org/W1480376833","https://openalex.org/W1493072336","https://openalex.org/W1532469653","https://openalex.org/W1538630842","https://openalex.org/W1539950249","https://openalex.org/W1549935325","https://openalex.org/W1551726322","https://openalex.org/W1554663460","https://openalex.org/W1554944419","https://openalex.org/W1823329909","https://openalex.org/W1871160471","https://openalex.org/W1971941671","https://openalex.org/W1972911488","https://openalex.org/W1985247663","https://openalex.org/W1991928089","https://openalex.org/W2004369799","https://openalex.org/W2006536226","https://openalex.org/W2008263861","https://openalex.org/W2010308130","https://openalex.org/W2010716737","https://openalex.org/W2018436391","https://openalex.org/W2031198836","https://openalex.org/W2032101051","https://openalex.org/W2034694694","https://openalex.org/W2035257606","https://openalex.org/W2038636533","https://openalex.org/W2040939169","https://openalex.org/W2043081668","https://openalex.org/W2047834789","https://openalex.org/W2054821087","https://openalex.org/W2056715241","https://openalex.org/W2071128523","https://openalex.org/W2074071107","https://openalex.org/W2079257256","https://openalex.org/W2089927964","https://openalex.org/W2099741732","https://openalex.org/W2109556009","https://openalex.org/W2111872234","https://openalex.org/W2114059901","https://openalex.org/W2114319457","https://openalex.org/W2115028197","https://openalex.org/W2124733101","https://openalex.org/W2126860197","https://openalex.org/W2127201702","https://openalex.org/W2128764777","https://openalex.org/W2133412540","https://openalex.org/W2134312057","https://openalex.org/W2135978251","https://openalex.org/W2136861779","https://openalex.org/W2136988993","https://openalex.org/W2138199375","https://openalex.org/W2145309647","https://openalex.org/W2145504425","https://openalex.org/W2149276539","https://openalex.org/W2151530263","https://openalex.org/W2155818328","https://openalex.org/W2157249751","https://openalex.org/W2157376118","https://openalex.org/W2158307450","https://openalex.org/W2159831289","https://openalex.org/W2163303168","https://openalex.org/W2167904694","https://openalex.org/W2171033594","https://openalex.org/W2294798173","https://openalex.org/W2316478175","https://openalex.org/W2494084875","https://openalex.org/W2790115383","https://openalex.org/W2801830100","https://openalex.org/W2914973542","https://openalex.org/W3165771198","https://openalex.org/W4242628327","https://openalex.org/W4250947857","https://openalex.org/W4255692800","https://openalex.org/W4256522398","https://openalex.org/W4407814969","https://openalex.org/W6670212086","https://openalex.org/W7072285192"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4318262572","https://openalex.org/W2036849593","https://openalex.org/W1978174651"],"abstract_inverted_index":{"Abstract":[0],"Because":[1],"of":[2,18,48,64],"recent":[3],"advances":[4],"in":[5,12,35,40],"sensor":[6],"technology":[7],"and":[8,24,44,111,127,173,186],"a":[9,15,135],"rapid":[10],"increase":[11],"storage":[13],"capacities,":[14],"growing":[16],"number":[17,63],"intensity":[19],"values":[20,76],"can":[21,37,96],"be":[22,38,99],"recorded":[23],"associated":[25,67],"with":[26,68,134],"pixel":[27,70],"coordinates":[28],"using":[29],"new":[30,46,112],"imaging":[31,89,125],"technologies.":[32],"This":[33,158],"growth":[34],"dimension":[36],"observed":[39],"different":[41,78,83,88,124],"scientific":[42],"areas":[43],"this":[45,118],"category":[47],"images":[49,55,95,104],"is":[50,66,160],"referred":[51],"to":[52,131],"as":[53,101],"multivariate":[54],"(MVIs).":[56],"In":[57,117],"these":[58,94],"images,":[59,110],"an":[60],"almost":[61],"arbitrary":[62],"variables":[65],"each":[69],"that":[71],"represent,":[72],"for":[73,82,87],"instance,":[74],"signal":[75],"at":[77],"time":[79],"points":[80],"or":[81,86,91,105],"spectral":[84],"bands":[85],"parameters":[90],"modalities.":[92],"Thus,":[93],"no":[97],"longer":[98],"interpreted":[100],"gray":[102],"value":[103],"red,":[106],"green,":[107],"blue":[108],"color":[109],"information":[113],"technologies":[114,126],"are":[115],"needed.":[116],"review":[119],"article,":[120],"we":[121],"summarize":[122],"the":[123],"recently":[128],"published":[129],"approaches":[130],"MVI":[132],"mining":[133],"special":[136],"focus":[137],"on":[138],"biomedical":[139],"applications.":[140],"\u00a9":[141],"2011":[142,153],"John":[143],"Wiley":[144],"&amp;":[145],"Sons,":[146],"Inc.":[147],"WIREs":[148],"Data":[149,167,175],"Mining":[150,168,176],"Knowl":[151],"Discov":[152],"1":[154],"2\u201013":[155],"DOI:":[156],"10.1002/widm.4":[157],"article":[159],"categorized":[161],"under:":[162],"Algorithmic":[163,169],"Development":[164,170],"&gt;":[165,171,179,183],"Biological":[166],"Spatial":[172],"Temporal":[174],"Application":[177],"Areas":[178],"Health":[180],"Care":[181],"Technologies":[182],"Structure":[184],"Discovery":[185],"Clustering":[187]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
