{"id":"https://openalex.org/W2555294484","doi":"https://doi.org/10.5220/0004898802730280","title":"Multi-dimensional Pattern Mining - A Case Study in Healthcare","display_name":"Multi-dimensional Pattern Mining - A Case Study in Healthcare","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2555294484","doi":"https://doi.org/10.5220/0004898802730280","mag":"2555294484"},"language":"en","primary_location":{"id":"doi:10.5220/0004898802730280","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004898802730280","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Enterprise Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004898802730280","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108104339","display_name":"Andreia Silva","orcid":"https://orcid.org/0000-0001-6537-3332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreia Silva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055703518","display_name":"Cl\u00e1udia Antunes","orcid":"https://orcid.org/0000-0002-9467-2515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cl\u00e1udia Antunes","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44199928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9889000058174133,"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":0.9889000058174133,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9609000086784363,"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/T12384","display_name":"Customer churn and segmentation","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/computer-science","display_name":"Computer science","score":0.741838812828064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6294481158256531},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6291030645370483},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5782514214515686},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5044072866439819},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44240689277648926},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43831437826156616},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4141547381877899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24825143814086914},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12005272507667542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741838812828064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6294481158256531},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6291030645370483},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5782514214515686},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5044072866439819},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44240689277648926},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43831437826156616},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4141547381877899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24825143814086914},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12005272507667542},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004898802730280","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004898802730280","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Enterprise Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004898802730280","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004898802730280","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Enterprise Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W3097449145","https://openalex.org/W2561617217","https://openalex.org/W2025378473","https://openalex.org/W2355801475","https://openalex.org/W4206659427","https://openalex.org/W2170062176","https://openalex.org/W2148135840","https://openalex.org/W106004901","https://openalex.org/W2973622563"],"abstract_inverted_index":{"Huge":[0],"amounts":[1],"of":[2,17,36,102,145],"data":[3,19,38,46,65,81,89,128,149],"are":[4,47,56],"continuously":[5],"being":[6],"generated":[7],"in":[8,30,91,134],"the":[9,31,34,62,73,100,117,121,143],"healthcare":[10,32,37,118],"system.":[11],"A":[12],"correct":[13],"and":[14,27,55,75,132,138,141],"careful":[15],"analysis":[16],"these":[18,79],"may":[20],"bring":[21],"huge":[22],"benefits":[23],"to":[24,68,77,152],"all":[25],"people":[26],"processes":[28],"involved":[29],"management.\r\n\r\nHowever,":[33],"characteristics":[35],"do":[39],"not":[40],"make":[41],"this":[42,70,109],"job":[43],"easy.":[44],"These":[45],"usually":[48],"too":[49],"complex,":[50],"massive,":[51],"with":[52],"high":[53],"dimensionality,":[54],"irregularly":[57],"distributed":[58],"over":[59],"time.":[60],"In":[61],"last":[63],"decade,":[64],"mining":[66,150],"begun":[67],"address":[69],"area,":[71],"providing":[72],"technology":[74],"approaches":[76],"transform":[78],"complex":[80],"into":[82],"useful":[83],"information":[84],"for":[85,99],"decision":[86],"support.":[87],"Multi-relational":[88],"mining,":[90],"particular,":[92],"has":[93],"gained":[94],"attention,":[95],"since":[96],"it":[97],"aims":[98],"discovery":[101],"frequent":[103],"relations":[104],"that":[105,127,153],"involve":[106],"multiple":[107],"dimensions.\r\n\r\nIn":[108],"work":[110],"we":[111,124,139],"present":[112,140],"a":[113,135,147],"case":[114],"study":[115],"on":[116],"domain.":[119],"Using":[120],"Hepatitis":[122],"dataset,":[123],"show":[125],"how":[126],"can":[129],"be":[130],"modeled":[131],"explored":[133],"multi-dimensional":[136,148],"model,":[137],"discuss":[142],"results":[144],"applying":[146],"algorithm":[151],"model.":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}