{"id":"https://openalex.org/W1603364997","doi":null,"title":"Using intelligent agents to identify trends in multi-dimensional databases","display_name":"Using intelligent agents to identify trends in multi-dimensional databases","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1603364997","mag":"1603364997"},"language":"en","primary_location":{"id":"pmh:oai:ro.uow.edu.au:theses-3570","doi":null,"is_oa":true,"landing_page_url":"https://ro.uow.edu.au/theses/2570","pdf_url":"https://ro.uow.edu.au/theses/2570","source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"University of Wollongong Thesis Collection 1954-2016","raw_type":"thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ro.uow.edu.au/theses/2570","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067809247","display_name":"Surapong Rattanaphuwalux","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Surapong Rattanaphuwalux","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5067809247"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.8173999786376953,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.8173999786376953,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.11060000211000443,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.03689999878406525,"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/intelligent-agents","display_name":"intelligent agents","score":0.9570000171661377},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"online analytical processing","score":0.8149999976158142},{"id":"https://openalex.org/keywords/trend-detection","display_name":"trend detection","score":0.7900000214576721},{"id":"https://openalex.org/keywords/data-summarization","display_name":"data summarization","score":0.6579999923706055},{"id":"https://openalex.org/keywords/data-aggregation","display_name":"data aggregation","score":0.5979999899864197},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812545418739319},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5378517508506775},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3399532437324524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32765358686447144},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32225286960601807}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:ro.uow.edu.au:theses-3570","doi":null,"is_oa":true,"landing_page_url":"https://ro.uow.edu.au/theses/2570","pdf_url":"https://ro.uow.edu.au/theses/2570","source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"University of Wollongong Thesis Collection 1954-2016","raw_type":"thesis"},{"id":"pmh:oai:figshare.com:article/27650679","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/thesis/Using_intelligent_agents_to_identify_trends_in_multi-dimensional_databases/27650679","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:1603364997","doi":null,"is_oa":false,"landing_page_url":"https://ro.uow.edu.au/cgi/viewcontent.cgi?article=3570&context=theses","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:ro.uow.edu.au:theses-3570","doi":null,"is_oa":true,"landing_page_url":"https://ro.uow.edu.au/theses/2570","pdf_url":"https://ro.uow.edu.au/theses/2570","source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"University of Wollongong Thesis Collection 1954-2016","raw_type":"thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1603364997.pdf","grobid_xml":"https://content.openalex.org/works/W1603364997.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W63434951","https://openalex.org/W622749984","https://openalex.org/W631961264","https://openalex.org/W1484864026","https://openalex.org/W1520527498","https://openalex.org/W1541054135","https://openalex.org/W1580804245","https://openalex.org/W1989355989","https://openalex.org/W2097352663","https://openalex.org/W2145790759","https://openalex.org/W2157026227"],"related_works":["https://openalex.org/W7097845403","https://openalex.org/W2972170745","https://openalex.org/W4241010164","https://openalex.org/W825516704","https://openalex.org/W2370347230","https://openalex.org/W2893938750","https://openalex.org/W2124278683","https://openalex.org/W7100549476","https://openalex.org/W769870517","https://openalex.org/W1974129129"],"abstract_inverted_index":{"The":[0],"widespread":[1],"use":[2],"of":[3,59,130,132],"relational":[4],"and":[5,19,64,77,127],"other":[6],"database":[7],"technologies":[8],"has":[9,51],"given":[10],"rise":[11],"to":[12,41,89,101,107,121],"enormous":[13],"data":[14,26,44,73,93,133],"stores,":[15,27],"in":[16,54,80,110,124,134],"both":[17],"private":[18],"government":[20],"organisations.":[21],"Faced":[22],"with":[23,94],"these":[24],"vast":[25],"many":[28],"organisations":[29],"have":[30],"seen":[31],"the":[32,57,99,103,114,125,128,135],"need":[33,50],"for":[34],"sophisticated":[35],"analytical":[36],"tools":[37,86],"that":[38,91],"allow":[39,87],"users":[40,88],"view":[42],"summary":[43,112],"from":[45,74],"any":[46],"required":[47],"perspective.":[48],"This":[49],"been":[52],"met,":[53],"part,":[55],"by":[56],"development":[58],"Multi-Dimensional":[60],"Data":[61],"Bases":[62],"(MDDBs)":[63],"associated":[65],"On-Line":[66],"Analytical":[67],"Processing":[68],"(OLAP)":[69],"tools.":[70],"MDDBs":[71],"extract":[72],"conventional":[75],"databases":[76],"store":[78],"it":[79],"partially":[81],"aggregated":[82,92],"form,":[83],"while":[84],"OLAP":[85],"manipulate":[90],"ease.":[95],"Such":[96],"manipulation":[97],"includes":[98],"ability":[100],"select:":[102],"factors":[104],"(or":[105,116],"Dimensions)":[106],"be":[108,122],"included":[109,123],"a":[111],"display,":[113],"categories":[115],"Members)":[117],"within":[118],"each":[119],"Dimension":[120],"display":[126],"level":[129],"aggregation":[131],"display.":[136]},"counts_by_year":[],"updated_date":"2026-09-11T09:22:31.653822","created_date":"2016-06-24T00:00:00"}
