{"id":"https://openalex.org/W3014424698","doi":"https://doi.org/10.1587/transinf.2019iip0008","title":"Characterization of Interestingness Measures Using Correlation Analysis and Association Rule Mining","display_name":"Characterization of Interestingness Measures Using Correlation Analysis and Association Rule Mining","publication_year":2020,"publication_date":"2020-03-31","ids":{"openalex":"https://openalex.org/W3014424698","doi":"https://doi.org/10.1587/transinf.2019iip0008","mag":"3014424698"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019iip0008","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019iip0008","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1587/transinf.2019iip0008","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021736967","display_name":"Rachasak Somyanonthanakul","orcid":"https://orcid.org/0000-0003-4532-0131"},"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":"Rachasak SOMYANONTHANAKUL","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University"],"affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083358892","display_name":"Thanaruk Theeramunkong","orcid":"https://orcid.org/0000-0003-0744-4213"},"institutions":[{"id":"https://openalex.org/I4387154341","display_name":"Office of the Royal Society","ror":"https://ror.org/04v9gtz82","country_code":null,"type":"government","lineage":["https://openalex.org/I4387154341"]},{"id":"https://openalex.org/I4210132449","display_name":"The Royal College Of Anesthesiologists Of Thailand","ror":"https://ror.org/03e4r0p06","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210132449"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanaruk THEERAMUNKONG","raw_affiliation_strings":["Academy of Science, the Royal Society of Thailand"],"affiliations":[{"raw_affiliation_string":"Academy of Science, the Royal Society of Thailand","institution_ids":["https://openalex.org/I4210132449","https://openalex.org/I4387154341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021736967"],"corresponding_institution_ids":["https://openalex.org/I108108428"],"apc_list":null,"apc_paid":null,"fwci":1.3888,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86125436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"E103.D","issue":"4","first_page":"779","last_page":"788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7917156219482422},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7796376943588257},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7271121144294739},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6840468049049377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561439633369446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6218098402023315},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5819621682167053},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5356252789497375},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.47968125343322754},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.44564804434776306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34927433729171753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25454843044281006}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7917156219482422},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7796376943588257},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7271121144294739},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6840468049049377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561439633369446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6218098402023315},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5819621682167053},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5356252789497375},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.47968125343322754},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.44564804434776306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34927433729171753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25454843044281006},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2019iip0008","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019iip0008","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019iip0008","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019iip0008","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W48920344","https://openalex.org/W57301739","https://openalex.org/W60969841","https://openalex.org/W112256517","https://openalex.org/W113197771","https://openalex.org/W120164235","https://openalex.org/W131532953","https://openalex.org/W966414723","https://openalex.org/W1480480326","https://openalex.org/W1482456385","https://openalex.org/W1489714560","https://openalex.org/W1496083254","https://openalex.org/W1506285740","https://openalex.org/W1524938675","https://openalex.org/W1533875715","https://openalex.org/W1536861783","https://openalex.org/W1538285186","https://openalex.org/W1547598598","https://openalex.org/W1556507321","https://openalex.org/W1572604219","https://openalex.org/W1593215943","https://openalex.org/W1595392398","https://openalex.org/W1607429971","https://openalex.org/W1884606608","https://openalex.org/W1927345150","https://openalex.org/W1963816080","https://openalex.org/W1973036367","https://openalex.org/W1974054882","https://openalex.org/W1984446671","https://openalex.org/W1990951910","https://openalex.org/W1993130246","https://openalex.org/W1997585986","https://openalex.org/W2001812280","https://openalex.org/W2016661940","https://openalex.org/W2037965136","https://openalex.org/W2038449669","https://openalex.org/W2039852163","https://openalex.org/W2048433053","https://openalex.org/W2053154970","https://openalex.org/W2054388311","https://openalex.org/W2063771604","https://openalex.org/W2064175801","https://openalex.org/W2066277072","https://openalex.org/W2095952922","https://openalex.org/W2097704191","https://openalex.org/W2102297485","https://openalex.org/W2104017387","https://openalex.org/W2104471998","https://openalex.org/W2105230291","https://openalex.org/W2106571168","https://openalex.org/W2109315709","https://openalex.org/W2110893883","https://openalex.org/W2114134542","https://openalex.org/W2122182414","https://openalex.org/W2123446250","https://openalex.org/W2131020804","https://openalex.org/W2137220040","https://openalex.org/W2140278658","https://openalex.org/W2147295875","https://openalex.org/W2149760348","https://openalex.org/W2154663323","https://openalex.org/W2161106265","https://openalex.org/W2163329495","https://openalex.org/W2165669526","https://openalex.org/W2166559705","https://openalex.org/W2210278139","https://openalex.org/W2251988605","https://openalex.org/W2293584162","https://openalex.org/W2336153784","https://openalex.org/W2477478980","https://openalex.org/W2491596913","https://openalex.org/W2546284993","https://openalex.org/W2745750801","https://openalex.org/W2751182624","https://openalex.org/W2883953412","https://openalex.org/W2990062256","https://openalex.org/W2997709717","https://openalex.org/W4234295701","https://openalex.org/W4253336088","https://openalex.org/W4255145443","https://openalex.org/W4293257135"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W4313908216","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2790658443","https://openalex.org/W2474567666"],"abstract_inverted_index":{"Objective":[0],"interestingness":[1,48,116,147],"measures":[2,30,49,117],"play":[3],"a":[4,12],"vital":[5],"role":[6],"in":[7,76],"association":[8,125,137,157],"rule":[9,126,138],"mining":[10],"of":[11,53,86,98,144],"large-scaled":[13],"database":[14],"because":[15],"they":[16],"are":[17,39,74,89,132],"used":[18],"for":[19,94],"extracting,":[20],"filtering,":[21],"and":[22,61,72,79,82,124,136,156],"ranking":[23],"the":[24,27,51,114,129,141,153],"patterns.":[25,110],"In":[26,128],"past,":[28],"several":[29],"have":[31],"been":[32,119],"proposed":[33],"but":[34],"their":[35,59,66],"similarities":[36],"or":[37],"relations":[38],"not":[40],"sufficiently":[41],"explored.":[42],"This":[43],"work":[44],"investigates":[45],"sixty-one":[46,115],"objective":[47],"on":[50,107],"pattern":[52],"A":[54],"\u2192":[55],"B,":[56],"to":[57],"analyze":[58],"similarity":[60],"dissimilarity":[62],"as":[63,65],"well":[64],"relationship.":[67],"Three-probability":[68],"patterns,":[69],"P(A),":[70],"P(B),":[71],"P(AB),":[73],"enumerated":[75],"both":[77],"linear":[78],"exponential":[80],"scales":[81],"each":[83,99],"measure's":[84],"values":[85],"those":[87],"conditions":[88],"calculated,":[90],"forming":[91],"synthesis":[92],"data":[93],"investigation.":[95],"The":[96,111],"behavior":[97],"measure":[100,148],"is":[101],"explored":[102],"by":[103],"pairwise":[104],"comparison":[105],"based":[106],"these":[108],"three-probability":[109],"relationship":[112],"among":[113],"has":[118],"characterized":[120],"with":[121],"correlation":[122],"analysis":[123],"mining.":[127],"experiment,":[130],"relationships":[131],"summarized":[133],"using":[134,152],"heat-map":[135,155],"mined.":[139],"As":[140],"result,":[142],"selection":[143],"an":[145],"appropriate":[146],"can":[149],"be":[150],"realized":[151],"generated":[154],"rules.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
