{"id":"https://openalex.org/W2070337050","doi":"https://doi.org/10.4018/jssci.2011040103","title":"Adaptive Study Design Through Semantic Association Rule Analysis","display_name":"Adaptive Study Design Through Semantic Association Rule Analysis","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2070337050","doi":"https://doi.org/10.4018/jssci.2011040103","mag":"2070337050"},"language":"en","primary_location":{"id":"doi:10.4018/jssci.2011040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jssci.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S201241086","display_name":"International Journal of Software Science and Computational Intelligence","issn_l":"1942-9037","issn":["1942-9037","1942-9045"],"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 Software Science and Computational Intelligence","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/A5021641125","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-0684-9665"},"institutions":[{"id":"https://openalex.org/I16277215","display_name":"University of Houston - Downtown","ror":"https://ror.org/05mj6fy81","country_code":"US","type":"education","lineage":["https://openalex.org/I16277215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["University of Houston-Downtown, USA","University of Houston-Downtown, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston-Downtown, USA","institution_ids":["https://openalex.org/I16277215"]},{"raw_affiliation_string":"University of Houston-Downtown, USA#TAB#","institution_ids":["https://openalex.org/I16277215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088432110","display_name":"Wei Ding","orcid":"https://orcid.org/0000-0002-3383-551X"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Ding","raw_affiliation_strings":["University of Massachusetts-Boston, USA","University of Massachusetts., Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts-Boston, USA","institution_ids":["https://openalex.org/I33434090"]},{"raw_affiliation_string":"University of Massachusetts., Boston, USA","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087398776","display_name":"Walter Baluja Garc\u00eda","orcid":"https://orcid.org/0000-0003-3499-4843"},"institutions":[{"id":"https://openalex.org/I16277215","display_name":"University of Houston - Downtown","ror":"https://ror.org/05mj6fy81","country_code":"US","type":"education","lineage":["https://openalex.org/I16277215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter Garcia","raw_affiliation_strings":["University of Houston-Downtown, USA","University of Houston-Downtown, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston-Downtown, USA","institution_ids":["https://openalex.org/I16277215"]},{"raw_affiliation_string":"University of Houston-Downtown, USA#TAB#","institution_ids":["https://openalex.org/I16277215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83270576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":"2","first_page":"34","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T11719","display_name":"Data Quality and Management","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8834656476974487},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.706610918045044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5494135022163391},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5351805090904236},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43261152505874634},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3296051621437073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8834656476974487},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.706610918045044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5494135022163391},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5351805090904236},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43261152505874634},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3296051621437073},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jssci.2011040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jssci.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S201241086","display_name":"International Journal of Software Science and Computational Intelligence","issn_l":"1942-9037","issn":["1942-9037","1942-9045"],"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 Software Science and Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jssci0:v:3:y:2011:i:2:p:34-48","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssci.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W51199020","https://openalex.org/W167310721","https://openalex.org/W564030374","https://openalex.org/W1553696291","https://openalex.org/W1570448133","https://openalex.org/W1601616652","https://openalex.org/W1969942290","https://openalex.org/W1970374592","https://openalex.org/W1973531348","https://openalex.org/W2001885401","https://openalex.org/W2010034649","https://openalex.org/W2016042334","https://openalex.org/W2017367019","https://openalex.org/W2037940305","https://openalex.org/W2040820996","https://openalex.org/W2042970816","https://openalex.org/W2066277072","https://openalex.org/W2070141931","https://openalex.org/W2081395474","https://openalex.org/W2112307926","https://openalex.org/W2117366235","https://openalex.org/W2122605917","https://openalex.org/W2125492744","https://openalex.org/W2137079713","https://openalex.org/W2138420488","https://openalex.org/W2146110887","https://openalex.org/W2149635250","https://openalex.org/W2157423656","https://openalex.org/W2164976357","https://openalex.org/W2165094119","https://openalex.org/W2172000602","https://openalex.org/W2173648032","https://openalex.org/W2479315025","https://openalex.org/W2507080494","https://openalex.org/W2914082326","https://openalex.org/W2966207845","https://openalex.org/W6602094612"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W2391054147","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W4310720718","https://openalex.org/W2065998343","https://openalex.org/W2369717039"],"abstract_inverted_index":{"Association":[0],"mining":[1],"aims":[2],"to":[3,15,39],"find":[4],"valid":[5,49],"correlations":[6],"among":[7],"data":[8,19],"attributes,":[9],"and":[10,46,74],"has":[11],"been":[12],"widely":[13],"applied":[14],"many":[16],"areas":[17],"of":[18,43],"analysis.":[20],"This":[21],"paper":[22],"presents":[23],"a":[24,44,66],"semantic":[25],"network-based":[26],"association":[27],"analysis":[28],"model":[29,38],"including":[30],"three":[31],"spreading":[32],"activation":[33],"methods.":[34],"It":[35],"applies":[36],"this":[37],"assess":[40],"the":[41,71,75],"quality":[42],"dataset,":[45,70],"generate":[47],"semantically":[48],"new":[50],"hypotheses":[51],"for":[52],"adaptive":[53],"study":[54],"design":[55],"especially":[56],"useful":[57],"in":[58],"medical":[59],"studies.":[60],"The":[61],"approach":[62],"is":[63],"evaluated":[64],"on":[65],"real":[67],"public":[68],"health":[69],"Heartfelt":[72],"study,":[73],"experiment":[76],"shows":[77],"promising":[78],"results.":[79]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
