{"id":"https://openalex.org/W2465290353","doi":"https://doi.org/10.1080/10095020.2016.1179896","title":"Data field for mining big data","display_name":"Data field for mining big data","publication_year":2016,"publication_date":"2016-04-02","ids":{"openalex":"https://openalex.org/W2465290353","doi":"https://doi.org/10.1080/10095020.2016.1179896","mag":"2465290353"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2016.1179896","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2016.1179896","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179896?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179896?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000423121","display_name":"Shuliang Wang","orcid":"https://orcid.org/0000-0001-5326-7209"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuliang Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China; School of Software, Beijing Institute of Technology, Beijing, China","School of Software, Beijing Institute of Technology, Beijing, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China; School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I4210118728"]},{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414056","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7678-9405"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102783832","display_name":"Dakui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dakui Wang","raw_affiliation_strings":["International School of Software, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International School of Software, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000423121"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":1.2371,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82967982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"19","issue":"2","first_page":"106","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9921000003814697,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8271523714065552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7184373736381531},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.7127611637115479},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6450773477554321},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6138082146644592},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5866079330444336},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.45642372965812683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33994317054748535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08050081133842468}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8271523714065552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184373736381531},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.7127611637115479},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6450773477554321},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6138082146644592},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5866079330444336},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.45642372965812683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33994317054748535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08050081133842468},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10095020.2016.1179896","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2016.1179896","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179896?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2016.1179896","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2016.1179896","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179896?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6834186085","display_name":"\u7a7a\u95f4\u6570\u636e\u6316\u6398\u7684\u6570\u636e\u5404\u5411\u5f02\u6027\u7814\u7a76","funder_award_id":"61173061","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2465290353.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1485299191","https://openalex.org/W1489950266","https://openalex.org/W1494137514","https://openalex.org/W1517307961","https://openalex.org/W1530010412","https://openalex.org/W1553244859","https://openalex.org/W1570713908","https://openalex.org/W1661871015","https://openalex.org/W1993586168","https://openalex.org/W2006533296","https://openalex.org/W2015666727","https://openalex.org/W2017337590","https://openalex.org/W2040884411","https://openalex.org/W2043277109","https://openalex.org/W2060542593","https://openalex.org/W2084643575","https://openalex.org/W2108447811","https://openalex.org/W2118091795","https://openalex.org/W2119479037","https://openalex.org/W2129905273","https://openalex.org/W2150104128","https://openalex.org/W2153922613","https://openalex.org/W4200199159","https://openalex.org/W4205997326","https://openalex.org/W4233014035","https://openalex.org/W4248373945","https://openalex.org/W4251358816","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W807005383","https://openalex.org/W2182399080","https://openalex.org/W1494355008","https://openalex.org/W1501624740","https://openalex.org/W1984941792","https://openalex.org/W2369440580","https://openalex.org/W2109863941","https://openalex.org/W2106570241","https://openalex.org/W3144654663","https://openalex.org/W56178620"],"abstract_inverted_index":{"Big":[0],"data":[1,24,32,55,62,79,85,93,119,129],"is":[2,25,121,144],"a":[3,59],"highlighted":[4],"challenge":[5],"for":[6,27,103,131],"many":[7],"fields":[8],"with":[9,156],"the":[10,29,44,66,82,90,108,125,152],"rapid":[11],"expansion":[12],"of":[13,19,31,46,61,69,77,84,92,98,110,128,140],"large-volume,":[14],"complex,":[15],"and":[16,33,57,95,107,137],"fast-growing":[17],"sources":[18],"data.":[20,71,158],"Mining":[21],"from":[22],"big":[23,70,78,157],"required":[26],"exploring":[28],"essence":[30],"providing":[34],"meaningful":[35,133],"information.":[36],"To":[37],"this":[38],"end,":[39],"we":[40],"have":[41],"previously":[42],"introduced":[43],"theory":[45,91],"physical":[47],"field":[48,63,94,120],"to":[49,64,123],"explore":[50],"relations":[51],"between":[52],"objects":[53,130],"in":[54,113,154],"space":[56],"proposed":[58],"framework":[60],"discover":[65],"underlying":[67],"distribution":[68,127],"This":[72],"paper":[73],"concerns":[74],"an":[75],"overview":[76],"mining":[80],"by":[81],"use":[83],"field.":[86],"It":[87,143],"mainly":[88],"discusses":[89],"different":[96],"aspects":[97],"applications":[99],"including":[100],"feature":[101],"selection":[102],"high-dimensional":[104],"data,":[105],"clustering,":[106,136],"recognition":[109],"facial":[111,141],"expression":[112],"human\u2013computer":[114],"interaction.":[115],"In":[116],"these":[117],"applications,":[118],"employed":[122],"capture":[124],"intrinsic":[126],"selecting":[132],"features,":[134],"fast":[135],"describing":[138],"variation":[139],"expression.":[142],"expected":[145],"that":[146],"our":[147],"contributions":[148],"would":[149],"help":[150],"overcome":[151],"problems":[153],"accordance":[155]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}