{"id":"https://openalex.org/W2577953983","doi":"https://doi.org/10.17706/jsw.11.2.148-161","title":"Handling Sparse Data Sets by Applying Contrast Set Mining in Feature Selection","display_name":"Handling Sparse Data Sets by Applying Contrast Set Mining in Feature Selection","publication_year":2015,"publication_date":"2015-12-29","ids":{"openalex":"https://openalex.org/W2577953983","doi":"https://doi.org/10.17706/jsw.11.2.148-161","mag":"2577953983"},"language":"en","primary_location":{"id":"doi:10.17706/jsw.11.2.148-161","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.11.2.148-161","pdf_url":"http://www.jsoftware.us/vol11/132-JSW1542.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jsoftware.us/vol11/132-JSW1542.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035427511","display_name":"Dijana Ore\u0161ki","orcid":"https://orcid.org/0000-0002-3820-0126"},"institutions":[{"id":"https://openalex.org/I4210148069","display_name":"Op\u0107a Bolnica Vara\u017edin","ror":"https://ror.org/056bmw021","country_code":"HR","type":"healthcare","lineage":["https://openalex.org/I4210148069"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Dijana Ore\u0161ki","raw_affiliation_strings":["Faculty of Organization and Informatics, Pavlinska 2, 42000 Vara\u017edin, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Organization and Informatics, Pavlinska 2, 42000 Vara\u017edin, Croatia","institution_ids":["https://openalex.org/I4210148069"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062186976","display_name":"Mario Konecki","orcid":"https://orcid.org/0009-0009-7020-917X"},"institutions":[{"id":"https://openalex.org/I4210148069","display_name":"Op\u0107a Bolnica Vara\u017edin","ror":"https://ror.org/056bmw021","country_code":"HR","type":"healthcare","lineage":["https://openalex.org/I4210148069"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Mario Konecki","raw_affiliation_strings":["Faculty of Organization and Informatics, Pavlinska 2, 42000 Varadin, Croatia","Faculty of Organization and Informatics, Pavlinska 2, 42000 Vara\u017edin, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Organization and Informatics, Pavlinska 2, 42000 Varadin, Croatia","institution_ids":["https://openalex.org/I4210148069"]},{"raw_affiliation_string":"Faculty of Organization and Informatics, Pavlinska 2, 42000 Vara\u017edin, Croatia","institution_ids":["https://openalex.org/I4210148069"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062186976"],"corresponding_institution_ids":["https://openalex.org/I4210148069"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25354259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"2","first_page":"148","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9945999979972839,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.8976131677627563},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6886025667190552},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6609216928482056},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5666811466217041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5559902191162109},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5438230633735657},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4897013008594513},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47458481788635254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4611317217350006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4404725730419159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8976131677627563},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6886025667190552},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6609216928482056},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5666811466217041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5559902191162109},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5438230633735657},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4897013008594513},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47458481788635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611317217350006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4404725730419159},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jsw.11.2.148-161","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.11.2.148-161","pdf_url":"http://www.jsoftware.us/vol11/132-JSW1542.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jsw.11.2.148-161","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.11.2.148-161","pdf_url":"http://www.jsoftware.us/vol11/132-JSW1542.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2577953983.pdf","grobid_xml":"https://content.openalex.org/works/W2577953983.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W32535764","https://openalex.org/W63215339","https://openalex.org/W608314793","https://openalex.org/W1500475686","https://openalex.org/W1517228774","https://openalex.org/W1531556760","https://openalex.org/W1549565124","https://openalex.org/W1556507321","https://openalex.org/W1565746575","https://openalex.org/W1598207381","https://openalex.org/W1619226191","https://openalex.org/W1849729440","https://openalex.org/W2009272467","https://openalex.org/W2013734290","https://openalex.org/W2017337590","https://openalex.org/W2035480950","https://openalex.org/W2040884411","https://openalex.org/W2050431484","https://openalex.org/W2087576375","https://openalex.org/W2097167306","https://openalex.org/W2102843519","https://openalex.org/W2103235295","https://openalex.org/W2109676405","https://openalex.org/W2131377090","https://openalex.org/W2133462743","https://openalex.org/W2146739527","https://openalex.org/W2151699449","https://openalex.org/W2156571267","https://openalex.org/W2163598528","https://openalex.org/W2166559705","https://openalex.org/W2171266161","https://openalex.org/W2336937448","https://openalex.org/W2741543704","https://openalex.org/W2942666711","https://openalex.org/W2998216295","https://openalex.org/W2998574808","https://openalex.org/W4245055982","https://openalex.org/W4285719527","https://openalex.org/W6630054432","https://openalex.org/W6631566171","https://openalex.org/W6633359351","https://openalex.org/W6633774736","https://openalex.org/W6638875480","https://openalex.org/W6682904970","https://openalex.org/W6684327724","https://openalex.org/W6742166947","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2004323682","https://openalex.org/W2069592018","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"A":[0],"data":[1,12,20,28,45,76,89,111,127],"set":[2,13,99],"is":[3,14,52],"sparse":[4,44,75,88,110],"if":[5],"the":[6,19,68,107,119],"number":[7],"of":[8,39,49,97,106],"samples":[9],"in":[10,26,60,102,125],"a":[11,116],"not":[15],"sufficient":[16],"to":[17,34,53,62],"model":[18],"accurately.":[21],"Recent":[22],"research":[23,51],"emphasized":[24],"interest":[25],"applying":[27],"mining":[29,100],"and":[30,66,122],"feature":[31,58,72,83],"selection":[32,59,73,84],"techniques":[33,56,85,101],"real":[35],"world":[36],"problems,":[37],"many":[38],"which":[40],"are":[41],"characterized":[42],"as":[43],"sets.":[46,77,112],"The":[47,78],"purpose":[48],"this":[50],"define":[54],"new":[55,120],"for":[57,71],"order":[61],"improve":[63],"classification":[64],"accuracy":[65],"reduce":[67],"time":[69],"required":[70],"on":[74,86,109,118],"extensive":[79],"comparison":[80],"with":[81],"benchmarking":[82],"64":[87],"sets":[90],"was":[91],"conducted.":[92],"Results":[93],"have":[94],"shown":[95],"superiority":[96,124],"contrast":[98],"more":[103],"than":[104],"80%":[105],"analysis":[108],"This":[113],"paper":[114],"provides":[115],"study":[117],"methodologies":[121],"detected":[123],"handling":[126],"sparsity.":[128]},"counts_by_year":[],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2017-01-26T00:00:00"}