{"id":"https://openalex.org/W4327662602","doi":"https://doi.org/10.1109/access.2023.3257887","title":"Mining Top-k Frequent Patterns in Large Geosocial Networks: A Mnie-Based Extension Approach","display_name":"Mining Top-k Frequent Patterns in Large Geosocial Networks: A Mnie-Based Extension Approach","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4327662602","doi":"https://doi.org/10.1109/access.2023.3257887"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3257887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3257887","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10073555.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10073555.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046040493","display_name":"Changben Zhou","orcid":"https://orcid.org/0000-0002-1377-0309"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changben Zhou","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1377-0309","affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031166307","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0002-0583-5512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xu","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0583-5512","affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074014221","display_name":"Ming Jiang","orcid":"https://orcid.org/0000-0002-0229-3594"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Jiang","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000200092","display_name":"Donghang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghang Tang","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616199","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0003-4083-4774"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3918,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81195757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"27662","last_page":"27675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7985644340515137},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5151078104972839},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49113699793815613},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4830358922481537},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45203155279159546},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.4368467926979065},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.42646926641464233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37251701951026917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2716526985168457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15479502081871033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985644340515137},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5151078104972839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49113699793815613},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4830358922481537},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45203155279159546},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.4368467926979065},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.42646926641464233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37251701951026917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2716526985168457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15479502081871033},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3257887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3257887","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10073555.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b64995d4bc3b46759795ce8040841569","is_oa":true,"landing_page_url":"https://doaj.org/article/b64995d4bc3b46759795ce8040841569","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 27662-27675 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3257887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3257887","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10073555.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1547720241","display_name":null,"funder_award_id":"61572165","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/W4327662602.pdf","grobid_xml":"https://content.openalex.org/works/W4327662602.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1495741242","https://openalex.org/W1497953515","https://openalex.org/W1510837191","https://openalex.org/W1536424880","https://openalex.org/W1641749581","https://openalex.org/W1735484586","https://openalex.org/W1973815317","https://openalex.org/W2006307108","https://openalex.org/W2008196645","https://openalex.org/W2012549717","https://openalex.org/W2019827052","https://openalex.org/W2112052203","https://openalex.org/W2112129327","https://openalex.org/W2118269922","https://openalex.org/W2122255072","https://openalex.org/W2124450885","https://openalex.org/W2126359798","https://openalex.org/W2131254650","https://openalex.org/W2135503940","https://openalex.org/W2136593687","https://openalex.org/W2143363350","https://openalex.org/W2147405597","https://openalex.org/W2151135734","https://openalex.org/W2153301229","https://openalex.org/W2165558283","https://openalex.org/W2170726034","https://openalex.org/W2241555812","https://openalex.org/W2254833717","https://openalex.org/W2263746683","https://openalex.org/W2294347342","https://openalex.org/W2431471428","https://openalex.org/W2494166009","https://openalex.org/W2613522499","https://openalex.org/W2655632524","https://openalex.org/W2791126026","https://openalex.org/W2795466160","https://openalex.org/W2963985215","https://openalex.org/W3037419610","https://openalex.org/W3160872503","https://openalex.org/W3167982246","https://openalex.org/W3169519622","https://openalex.org/W3174570615","https://openalex.org/W3200175003","https://openalex.org/W4242393948","https://openalex.org/W4289533794","https://openalex.org/W4289533859","https://openalex.org/W6638047305","https://openalex.org/W6788440121"],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W4224881918","https://openalex.org/W2003462717","https://openalex.org/W2802042052","https://openalex.org/W174828583","https://openalex.org/W1987609185","https://openalex.org/W2321986606","https://openalex.org/W2019415961","https://openalex.org/W1985727224"],"abstract_inverted_index":{"Frequent":[0],"pattern":[1,163],"mining":[2,93,167,204],"(FPM)":[3],"has":[4],"played":[5],"an":[6,196],"important":[7],"role":[8],"in":[9,37,59,61,65,78,125],"many":[10],"graph":[11],"domains,":[12],"such":[13,66],"as":[14],"bioinformatics":[15],"and":[16,91,161,210,219],"social":[17,30],"networks.":[18,81],"In":[19],"this":[20,70],"paper,":[21],"we":[22,47,56,72,83,100,144,194],"focus":[23],"on":[24,208],"geo-social":[25,80],"graphs,":[26],"a":[27,62,67,85,95,102,116,121,166,182],"kind":[28],"of":[29,44,51,97,112,123,148,152,158,173,190,221],"network":[31],"augmented":[32],"by":[33],"geographical":[34],"information.":[35],"However,":[36],"addition":[38],"to":[39,108,141,186,200,215],"the":[40,45,49,74,110,138,146,156,159,171,188,203,217],"exponential":[41,174],"time":[42],"complexity":[43],"problem,":[46],"face":[48],"challenge":[50,111],"efficient":[52],"subgraph":[53,89,191],"retrieval":[54,90,184],"since":[55],"are":[57,213],"interested":[58],"patterns":[60,176],"specific":[63],"region":[64],"network.":[68],"For":[69],"reason,":[71],"formulate":[73],"top-k":[75],"FPM":[76,92],"problem":[77,172],"large":[79,117],"Specifically,":[82],"devise":[84],"novel":[86],"framework":[87],"for":[88,137],"with":[94],"series":[96],"optimizations.":[98],"First,":[99],"propose":[101],"neighboring-aware":[103],"R-tree":[104,124],"(NaR-Tree)":[105],"index":[106],"structure":[107],"alleviate":[109],"retrieving":[113],"subgraphs":[114],"from":[115],"graph.":[118],"NaR-Tree":[119,160],"is":[120,177],"variant":[122],"which":[126],"each":[127],"nonleaf":[128],"tree":[129],"node":[130],"further":[131,201],"maintains":[132],"some":[133],"edge":[134,197],"statistics":[135],"information":[136],"rectangle":[139],"related":[140],"it.":[142],"Second,":[143],"define":[145],"concept":[147],"minimum":[149],"image-based":[150],"support":[151],"edges":[153],"(MNIE).":[154],"With":[155],"help":[157],"MNIE-based":[162],"extension":[164],"approach,":[165],"algorithm":[168],"that":[169],"addresses":[170],"candidate":[175],"proposed.":[178],"We":[179],"also":[180],"present":[181],"lazy":[183],"strategy":[185],"reduce":[187],"frequency":[189],"retrieval.":[192],"Finally,":[193],"adopt":[195],"sampling":[198],"approach":[199],"accelerate":[202],"process.":[205],"Extensive":[206],"experiments":[207],"real-world":[209],"synthesized":[211],"datasets":[212],"conducted":[214],"demonstrate":[216],"effectiveness":[218],"efficiency":[220],"our":[222],"solution.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
