{"id":"https://openalex.org/W3153297535","doi":"https://doi.org/10.4018/ijbdia.2020010103","title":"An Application of an Intelligent Data Warehouse for Modelling Spatiotemporal Objects","display_name":"An Application of an Intelligent Data Warehouse for Modelling Spatiotemporal Objects","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3153297535","doi":"https://doi.org/10.4018/ijbdia.2020010103","mag":"3153297535"},"language":"en","primary_location":{"id":"doi:10.4018/ijbdia.2020010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijbdia.2020010103","pdf_url":null,"source":{"id":"https://openalex.org/S4210239140","display_name":"International Journal of Big Data Intelligence and Applications","issn_l":"2644-1675","issn":["2644-1675","2644-1683"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Intelligence and Applications","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/A5063528471","display_name":"Georgia Garani","orcid":"https://orcid.org/0000-0003-1892-4183"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgia Garani","raw_affiliation_strings":["University of Thessaly, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074023773","display_name":"Nunziato Cassavia","orcid":"https://orcid.org/0000-0001-9991-5021"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nunziato Cassavia","raw_affiliation_strings":["University of Calabria, Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067825806","display_name":"Ilias \u039a. Savvas","orcid":"https://orcid.org/0000-0003-2060-0911"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ilias K. Savvas","raw_affiliation_strings":["University of Thessaly, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063528471"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":0.1515,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48604345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":"1","first_page":"36","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9904999732971191,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9779000282287598,"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/correctness","display_name":"Correctness","score":0.7945824265480042},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6777727603912354},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.6075115203857422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5716094374656677},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.565311849117279},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5540289282798767},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.5273424386978149},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4897339344024658},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.41961008310317993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2668648958206177},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2562236189842224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1956779956817627},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.09095200896263123}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7945824265480042},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6777727603912354},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.6075115203857422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716094374656677},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.565311849117279},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5540289282798767},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.5273424386978149},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4897339344024658},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.41961008310317993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2668648958206177},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2562236189842224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1956779956817627},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.09095200896263123},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijbdia.2020010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijbdia.2020010103","pdf_url":null,"source":{"id":"https://openalex.org/S4210239140","display_name":"International Journal of Big Data Intelligence and Applications","issn_l":"2644-1675","issn":["2644-1675","2644-1683"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1975299751","https://openalex.org/W2016144631","https://openalex.org/W2039614607","https://openalex.org/W2062245195","https://openalex.org/W2155998012","https://openalex.org/W2284930575","https://openalex.org/W2338245571","https://openalex.org/W2621005990","https://openalex.org/W2946072518","https://openalex.org/W2963027164"],"related_works":["https://openalex.org/W2404647514","https://openalex.org/W1667647204","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W4283160672","https://openalex.org/W1590965489"],"abstract_inverted_index":{"Data":[0],"warehouse":[1],"(DW)":[2],"systems":[3],"provide":[4],"the":[5,27,35,51,149,157,162],"best":[6],"solution":[7],"for":[8,112],"intelligent":[9],"data":[10,17,54,71],"analysis":[11],"and":[12,85,95,104,132,159],"decision-making.":[13],"Changes":[14],"applied":[15],"to":[16,23,26,34,106,144],"gradually":[18],"in":[19,64,134],"real":[20],"life":[21],"have":[22],"be":[24],"projected":[25],"DW.":[28],"Slowly":[29],"changing":[30,145],"dimension":[31,40],"(SCD)":[32],"refers":[33],"potential":[36],"volatility":[37],"of":[38,44,53,80,161],"DW":[39],"members.":[41],"The":[42,128,154],"treatment":[43],"SCDs":[45,114],"has":[46],"a":[47],"significant":[48],"impact":[49],"over":[50,126],"quality":[52],"analysis.":[55],"A":[56],"new":[57],"SCD":[58,108,164],"type,":[59],"Type":[60,75,100,165],"N,":[61],"is":[62,102],"proposed":[63,163],"this":[65,135],"research":[66],"paper,":[67],"which":[68],"encapsulates":[69],"volatile":[70],"into":[72],"historical":[73],"clusters.":[74],"N":[76,101],"preserves":[77],"complete":[78],"history":[79],"changes,":[81],"additional":[82],"tables,":[83],"columns,":[84],"rows":[86],"are":[87,93,98,115],"not":[88],"required,":[89],"extra":[90],"join":[91],"operations":[92],"omitted,":[94],"surrogate":[96],"keys":[97],"avoided.":[99],"implemented":[103,133],"compared":[105],"other":[107],"types.":[109],"Good":[110],"candidates":[111],"practicing":[113],"spatiotemporal":[116],"objects":[117,119],"(i.e.,":[118,140],"whose":[120],"shape":[121],"or":[122,148],"geometry":[123],"evolves":[124],"slowly":[125],"time).":[127],"case":[129],"study":[130],"used":[131],"paper":[136],"concerns":[137],"shape-shifting":[138],"constructions":[139],"buildings":[141],"that":[142],"respond":[143],"weather":[146],"conditions":[147],"way":[150],"people":[151],"use":[152],"them).":[153],"results":[155],"demonstrate":[156],"correctness":[158],"effectiveness":[160],"N.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}