{"id":"https://openalex.org/W3187290031","doi":"https://doi.org/10.1109/fuzz45933.2021.9494594","title":"Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases","display_name":"Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3187290031","doi":"https://doi.org/10.1109/fuzz45933.2021.9494594","mag":"3187290031"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz45933.2021.9494594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5084771214","display_name":"Pamalla Veena","orcid":"https://orcid.org/0000-0002-3611-0143"},"institutions":[{"id":"https://openalex.org/I4210115345","display_name":"Sri Balaji Vidyapeeth University","ror":"https://ror.org/02avh2k34","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210115345"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pamalla Veena","raw_affiliation_strings":["Sri Balaji PG college,Andhra pradesh,India","Sri Balaji PG college, Andhra pradesh, India"],"affiliations":[{"raw_affiliation_string":"Sri Balaji PG college,Andhra pradesh,India","institution_ids":["https://openalex.org/I4210115345"]},{"raw_affiliation_string":"Sri Balaji PG college, Andhra pradesh, India","institution_ids":["https://openalex.org/I4210115345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041533724","display_name":"B. Chithra","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Sai Chithra","raw_affiliation_strings":["IIIT-Idupulapaya,Andhra pradesh,India","IIIT-Idupulapaya, Andhra pradesh, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Idupulapaya,Andhra pradesh,India","institution_ids":["https://openalex.org/I4210109292"]},{"raw_affiliation_string":"IIIT-Idupulapaya, Andhra pradesh, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064495970","display_name":"R. Uday Kiran","orcid":"https://orcid.org/0000-0002-5417-0289"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"R. Uday Kiran","raw_affiliation_strings":["The University of Aizu,Fukushima,Japan","The University of Aizu, Fukushima, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Aizu,Fukushima,Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"The University of Aizu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004401828","display_name":"Sonali Agarwal","orcid":"https://orcid.org/0000-0001-9083-5033"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonali Agarwal","raw_affiliation_strings":["IIIT Allahabad,Uttar pradesh,India","IIIT Allahabad, Uttar pradesh, India"],"affiliations":[{"raw_affiliation_string":"IIIT Allahabad,Uttar pradesh,India","institution_ids":["https://openalex.org/I26072440"]},{"raw_affiliation_string":"IIIT Allahabad, Uttar pradesh, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048072689","display_name":"Koji Zettsu","orcid":"https://orcid.org/0000-0003-4062-2376"},"institutions":[{"id":"https://openalex.org/I4210151344","display_name":"National Institute on Consumer Education","ror":"https://ror.org/03y6p7b93","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210151344"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koji Zettsu","raw_affiliation_strings":["NICT,Tokyo,Japan","NICT, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NICT,Tokyo,Japan","institution_ids":["https://openalex.org/I4210151344"]},{"raw_affiliation_string":"NICT, Tokyo, Japan","institution_ids":["https://openalex.org/I4210151344"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084771214"],"corresponding_institution_ids":["https://openalex.org/I4210115345"],"apc_list":null,"apc_paid":null,"fwci":1.377,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85131965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9987000226974487,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7975702285766602},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7553433179855347},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7007964253425598},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.6253243684768677},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5392856001853943},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5380112528800964},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.3469603657722473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3124117851257324},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07929104566574097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975702285766602},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7553433179855347},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7007964253425598},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.6253243684768677},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5392856001853943},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5380112528800964},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3469603657722473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3124117851257324},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07929104566574097},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz45933.2021.9494594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1956439169","https://openalex.org/W2004359385","https://openalex.org/W2031324919","https://openalex.org/W2068515539","https://openalex.org/W2098472825","https://openalex.org/W2102387239","https://openalex.org/W2116977648","https://openalex.org/W2161863664","https://openalex.org/W2166559705","https://openalex.org/W2170760710","https://openalex.org/W2256601691","https://openalex.org/W2783343970","https://openalex.org/W2961234535","https://openalex.org/W2963644337","https://openalex.org/W2998574808","https://openalex.org/W3082637824","https://openalex.org/W3082705605","https://openalex.org/W6658329662","https://openalex.org/W6674878482"],"related_works":["https://openalex.org/W2355806221","https://openalex.org/W2359471647","https://openalex.org/W2379157203","https://openalex.org/W3184093474","https://openalex.org/W4251016002","https://openalex.org/W2092656406","https://openalex.org/W2385702911","https://openalex.org/W2122098189","https://openalex.org/W2019468830","https://openalex.org/W3023539600"],"abstract_inverted_index":{"Finding":[0],"fuzzy":[1,48],"frequent":[2,49],"patterns":[3,25,133],"in":[4,15,26,38,56,63,112,134],"a":[5,9,44,57,64,157],"quantitative":[6,27,58],"database":[7,65],"is":[8,66,142],"challenging":[10,69],"problem":[11],"of":[12,35,47,100,110,153],"significant":[13],"importance":[14],"many":[16],"real-world":[17,114],"applications.":[18],"Past":[19],"studies":[20],"focused":[21],"on":[22,160],"mining":[23,109],"these":[24],"transactional":[28],"databases":[29,115],"by":[30],"disregarding":[31],"the":[32,39,93,97,102,108,135,151],"spatiotemporal":[33,59],"characteristics":[34],"an":[36,120],"item":[37],"database.":[40,60,136],"This":[41,105],"paper":[42],"proposes":[43],"generic":[45],"model":[46,155],"spatial":[50],"pattern":[51],"(FFSP)":[52],"that":[53,140],"may":[54],"exist":[55],"Discovering":[61],"FFSPs":[62,111],"nontrivial":[67],"and":[68,76,96,145],"due":[70],"to":[71,90,129],"its":[72],"huge":[73],"search":[74,94],"space":[75,95],"high":[77],"computational":[78,98],"cost.":[79],"A":[80],"novel":[81],"pruning":[82],"technique,":[83],"called":[84,123],"neighborhood":[85],"pruning,":[86],"has":[87],"been":[88],"introduced":[89],"effectively":[91],"reduce":[92],"cost":[99],"finding":[101],"desired":[103,132],"itemsets.":[104],"technique":[106],"facilitates":[107],"large":[113],"practicable.":[116],"We":[117],"also":[118],"present":[119],"efficient":[121],"algorithm,":[122],"Fuzzy":[124],"Frequent":[125],"Spatial":[126],"Pattern-Miner":[127],"(FFSP-Miner),":[128],"find":[130],"all":[131],"Experimental":[137],"results":[138],"demonstrate":[139],"FFSP-Miner":[141],"both":[143],"memory":[144],"runtime":[146],"efficient.":[147],"Finally,":[148],"we":[149],"discuss":[150],"usefulness":[152],"our":[154],"with":[156],"case":[158],"study":[159],"air":[161],"pollution":[162],"analytics.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}