{"id":"https://openalex.org/W3206166728","doi":"https://doi.org/10.3390/ijgi10100696","title":"High Influencing Pattern Discovery over Time Series Data","display_name":"High Influencing Pattern Discovery over Time Series Data","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W3206166728","doi":"https://doi.org/10.3390/ijgi10100696","mag":"3206166728"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10100696","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10100696","pdf_url":"https://www.mdpi.com/2220-9964/10/10/696/pdf?version=1634872954","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/10/696/pdf?version=1634872954","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087013618","display_name":"Dianwu Fang","orcid":"https://orcid.org/0000-0002-9440-6428"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianwu Fang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Dongwaihuan South Road, University Town, Chenggong District, Kunming 650504, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Dongwaihuan South Road, University Town, Chenggong District, Kunming 650504, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669732","display_name":"Lizhen Wang","orcid":"https://orcid.org/0000-0003-2214-2299"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lizhen Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Dongwaihuan South Road, University Town, Chenggong District, Kunming 650504, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Dongwaihuan South Road, University Town, Chenggong District, Kunming 650504, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004470182","display_name":"Jialong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialong Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Dongwaihuan South Road, University Town, Chenggong District, Kunming 650504, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Dongwaihuan South Road, University Town, Chenggong District, Kunming 650504, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103042292","display_name":"Meijiao Wang","orcid":"https://orcid.org/0000-0002-0514-7891"},"institutions":[{"id":"https://openalex.org/I4210157581","display_name":"Jiangsu Police Officer College","ror":"https://ror.org/04k1m2t10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meijiao Wang","raw_affiliation_strings":["Institute of Information and Network Security, Yunnan Police College, Jiaochang North Road, Wuhua District, Kunming 650223, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information and Network Security, Yunnan Police College, Jiaochang North Road, Wuhua District, Kunming 650223, China","institution_ids":["https://openalex.org/I4210157581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100669732"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12818859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"10","first_page":"696","last_page":"696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.989799976348877,"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/T11106","display_name":"Data Management and Algorithms","score":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7438336610794067},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7001129388809204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6957653164863586},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5833823084831238},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5513888001441956},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5287415981292725},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5044490098953247},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4687001407146454},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.4592973291873932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3275710344314575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3224884867668152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16638168692588806},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09971880912780762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438336610794067},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7001129388809204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6957653164863586},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5833823084831238},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5513888001441956},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5287415981292725},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5044490098953247},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4687001407146454},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.4592973291873932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3275710344314575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3224884867668152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16638168692588806},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09971880912780762},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10100696","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10100696","pdf_url":"https://www.mdpi.com/2220-9964/10/10/696/pdf?version=1634872954","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:573ad64591c9482c86d14daa59a09fb2","is_oa":true,"landing_page_url":"https://doaj.org/article/573ad64591c9482c86d14daa59a09fb2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 10, p 696 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/10/696/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10100696","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 10; Issue 10; Pages: 696","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10100696","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10100696","pdf_url":"https://www.mdpi.com/2220-9964/10/10/696/pdf?version=1634872954","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1631702679","display_name":null,"funder_award_id":"61966036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2126759011","display_name":null,"funder_award_id":"61662086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G431729579","display_name":null,"funder_award_id":"61762090","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206166728.pdf","grobid_xml":"https://content.openalex.org/works/W3206166728.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1515526911","https://openalex.org/W1574667428","https://openalex.org/W1737158080","https://openalex.org/W1850843018","https://openalex.org/W1980042617","https://openalex.org/W1985032507","https://openalex.org/W1990433983","https://openalex.org/W2017917631","https://openalex.org/W2039023270","https://openalex.org/W2056284729","https://openalex.org/W2059054797","https://openalex.org/W2088266926","https://openalex.org/W2091287849","https://openalex.org/W2099764456","https://openalex.org/W2100015990","https://openalex.org/W2100776472","https://openalex.org/W2101484267","https://openalex.org/W2107990165","https://openalex.org/W2120117766","https://openalex.org/W2121095871","https://openalex.org/W2136662835","https://openalex.org/W2156930951","https://openalex.org/W2160961791","https://openalex.org/W2162974036","https://openalex.org/W2171898708","https://openalex.org/W2468789976","https://openalex.org/W2486297208","https://openalex.org/W2745794747","https://openalex.org/W2747913087","https://openalex.org/W2754686237","https://openalex.org/W2762590990","https://openalex.org/W2885701229","https://openalex.org/W2896042878","https://openalex.org/W2907860912","https://openalex.org/W2912861773","https://openalex.org/W2915888129","https://openalex.org/W2916932086","https://openalex.org/W2920331395","https://openalex.org/W2926748974","https://openalex.org/W2965977697","https://openalex.org/W2970604792","https://openalex.org/W2981235192","https://openalex.org/W2985914739","https://openalex.org/W2991362833","https://openalex.org/W2997653525","https://openalex.org/W2997870252","https://openalex.org/W3098219276","https://openalex.org/W3108634112","https://openalex.org/W3135474149","https://openalex.org/W3155955215","https://openalex.org/W3159030661","https://openalex.org/W3166277289","https://openalex.org/W4232676207","https://openalex.org/W6677770591","https://openalex.org/W6684989133","https://openalex.org/W6794797662"],"related_works":["https://openalex.org/W315394019","https://openalex.org/W4309585848","https://openalex.org/W2265383332","https://openalex.org/W2389214306","https://openalex.org/W4328130279","https://openalex.org/W4313657047","https://openalex.org/W2002342158","https://openalex.org/W2105009749","https://openalex.org/W4299387245","https://openalex.org/W3151146928"],"abstract_inverted_index":{"A":[0],"spatial":[1,8,40],"co-location":[2,17,24],"pattern":[3,18,35],"denotes":[4],"a":[5,47,80,86,102,158],"subset":[6],"of":[7,33,89,97,118,146,197],"features":[9,147],"whose":[10],"instances":[11,96,119,142],"frequently":[12],"appear":[13],"nearby.":[14],"High":[15],"influence":[16,28,55,140,145],"mining":[19,36,81],"is":[20],"used":[21],"to":[22,53,91,106,115,160,180],"find":[23],"patterns":[25,66],"with":[26],"high":[27,162],"in":[29,71,148],"specific":[30],"aspects.":[31],"Studies":[32],"such":[34],"usually":[37],"rely":[38],"on":[39,186],"distance":[41],"for":[42],"measuring":[43],"nearness":[44,94],"between":[45,95,141],"instances,":[46],"method":[48],"that":[49],"cannot":[50],"be":[51],"applied":[52],"an":[54,133],"propagation":[56],"process":[57],"concluded":[58],"from":[59,122],"epidemic":[60],"dispersal":[61],"scenarios.":[62],"To":[63],"discover":[64,161],"meaningful":[65],"by":[67],"using":[68],"fruitful":[69],"results":[70],"this":[72],"field,":[73],"we":[74,111,127,152,175],"extend":[75],"existing":[76],"approaches":[77],"and":[78,120,126,143,156,188,195],"propose":[79,176],"framework.":[82],"We":[83],"first":[84],"defined":[85],"new":[87],"concept":[88],"proximity":[90],"depict":[92],"semantic":[93],"distinct":[98],"features,":[99],"thus":[100],"applying":[101],"star-shaped":[103],"materialized":[104],"model":[105],"mine":[107],"influencing":[108,149,154,163],"patterns.":[109,150,164],"Then,":[110],"designed":[112],"attribute":[113,130],"descriptors":[114],"perceive":[116],"attributes":[117],"edges":[121],"time":[123],"series":[124],"data,":[125],"calculated":[128],"the":[129,139,144,166,171,192],"weights":[131],"via":[132],"analytic":[134],"hierarchy":[135],"process,":[136],"thereby":[137],"computing":[138],"Next,":[151],"constructed":[153],"metrics":[155,167],"set":[157],"threshold":[159],"Since":[165],"do":[168],"not":[169],"satisfy":[170],"downward":[172],"closure":[173],"property,":[174],"two":[177],"improved":[178],"algorithms":[179],"boost":[181],"efficiency.":[182],"Extensive":[183],"experiments":[184],"conducted":[185],"real":[187],"synthetic":[189],"datasets":[190],"verified":[191],"effectiveness,":[193],"efficiency,":[194],"scalability":[196],"our":[198],"method.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
