{"id":"https://openalex.org/W4415748275","doi":"https://doi.org/10.1109/access.2025.3627547","title":"Compact Representation of Association Rule With Sequential Item Mapping Rendering Approach","display_name":"Compact Representation of Association Rule With Sequential Item Mapping Rendering Approach","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415748275","doi":"https://doi.org/10.1109/access.2025.3627547"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3627547","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3627547","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2025.3627547","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001474932","display_name":"Puripat Thongkam","orcid":"https://orcid.org/0009-0008-5696-0939"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Puripat Thongkam","raw_affiliation_strings":["Department of Computer Science, Faculty of Science and Technology, Thammasat University, Khlong Nueng, Pathum Thani, Thailand","Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-5696-0939","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Technology, Thammasat University, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071269974","display_name":"Pakorn Leesutthipornchai","orcid":"https://orcid.org/0009-0000-5728-6925"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pakorn Leesutthipornchai","raw_affiliation_strings":["Department of Computer Science, Faculty of Science and Technology, Thammasat University, Khlong Nueng, Pathum Thani, Thailand","Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0009-0000-5728-6925","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Technology, Thammasat University, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001474932"],"corresponding_institution_ids":["https://openalex.org/I108108428"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43799909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"190506","last_page":"190525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9549000263214111,"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":0.9549000263214111,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.65420001745224},{"id":"https://openalex.org/keywords/substring","display_name":"Substring","score":0.6011999845504761},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5579000115394592},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4869999885559082},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48260000348091125},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.4765999913215637},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.44179999828338623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8684999942779541},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.65420001745224},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.6011999845504761},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5579000115394592},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5396000146865845},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4869999885559082},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4383000135421753},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4212000072002411},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.40310001373291016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3531999886035919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33500000834465027},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.3050999939441681},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25429999828338623},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3627547","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3627547","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a83c25e373cf4f388c80dc98c312999c","is_oa":true,"landing_page_url":"https://doaj.org/article/a83c25e373cf4f388c80dc98c312999c","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 13, Pp 190506-190525 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3627547","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3627547","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324279","display_name":"Ministry of Science and Technology of Thailand","ror":"https://ror.org/02nfy5246"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Association":[0],"rule":[1],"mining":[2],"are":[3],"widely":[4],"used":[5],"to":[6,32,58,82,159],"uncover":[7,59],"meaningful":[8],"insights":[9],"from":[10],"real-world":[11],"datasets.":[12,195],"However,":[13],"the":[14,40,49,53,84,129,137,145,166],"complex":[15,194],"nature":[16],"of":[17,86,124,147],"transactional":[18,62],"data,":[19],"especially":[20],"when":[21],"identifying":[22],"frequent":[23,185],"item":[24,43,87,91,138],"patterns,":[25],"poses":[26],"significant":[27],"challenges.":[28],"One":[29],"key":[30],"way":[31],"tackle":[33,65],"these":[34],"challenges":[35],"is":[36],"by":[37,94],"improving":[38],"how":[39],"algorithm":[41,50,168],"represents":[42],"relationships.":[44,88],"An":[45],"efficient":[46,120,182],"representation":[47,85],"ensures":[48],"can":[51],"traverse":[52],"structure":[54],"effectively,":[55],"enabling":[56],"it":[57],"all":[60],"embedded":[61],"rules.":[63],"To":[64],"this,":[66],"we":[67],"introduce":[68],"Sequential":[69],"Item":[70],"Mapping":[71],"Rendering":[72],"(SIMRs),":[73],"a":[74,101,179],"novel":[75],"framework":[76],"that":[77],"leverages":[78],"succinct":[79],"data":[80],"structures":[81],"optimize":[83],"SIMRs":[89,127,148],"organizes":[90],"relationships":[92],"hierarchically":[93],"transaction":[95],"levels":[96],"and":[97,122,154,181,193],"compresses":[98],"them":[99],"into":[100],"compact":[102],"string":[103],"format,":[104],"expressed":[105],"as":[106,162,164,178],"<italic":[107,111],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[108,112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N<sub>1</sub>N<sub>2</sub></i>":[109],"\u2026.":[110],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N<sub>i</sub></i>.":[113],"This":[114],"structured":[115],"approach":[116],"allows":[117],"for":[118,184],"more":[119],"processing":[121],"storage":[123],"data.":[125],"Additionally,":[126],"integrates":[128],"Boyer-Moore":[130],"substring":[131],"search":[132],"algorithm,":[133],"which":[134],"further":[135],"accelerates":[136],"relationship":[139],"construction":[140],"process.":[141],"Experimental":[142],"evaluations":[143],"demonstrate":[144],"effectiveness":[146],"in":[149,189],"reducing":[150],"both":[151],"memory":[152],"usage":[153],"execution":[155],"time.":[156],"In":[157],"comparison":[158],"traditional":[160],"algorithms":[161],"well":[163],"improved,":[165],"proposed":[167],"consistently":[169],"delivers":[170],"better":[171],"performance.":[172],"These":[173],"results":[174],"highlight":[175],"its":[176],"potential":[177],"robust":[180],"solution":[183],"pattern":[186],"mining,":[187],"particularly":[188],"scenarios":[190],"involving":[191],"large":[192]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-31T00:00:00"}
