{"id":"https://openalex.org/W2599424341","doi":"https://doi.org/10.1109/cit.2016.120","title":"Lightweight Feature Selection Methods Based on Standardized Measure of Dispersion for Mining Big Data","display_name":"Lightweight Feature Selection Methods Based on Standardized Measure of Dispersion for Mining Big Data","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2599424341","doi":"https://doi.org/10.1109/cit.2016.120","mag":"2599424341"},"language":"en","primary_location":{"id":"doi:10.1109/cit.2016.120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2016.120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Computer and Information Technology (CIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086422507","display_name":"Simon Fong","orcid":"https://orcid.org/0000-0002-1848-7246"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Simon Fong","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Taipa, Macau SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Taipa, Macau SAR","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020799472","display_name":"Robert P. Biuk\u2010Aghai","orcid":"https://orcid.org/0000-0002-3538-3318"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Robert P. Biuk-Aghai","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Taipa, Macau SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Taipa, Macau SAR","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022730826","display_name":"Yain\u2010Whar Si","orcid":"https://orcid.org/0000-0001-8468-6182"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yain-Whar Si","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Taipa, Macau SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Taipa, Macau SAR","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T10057","display_name":"Face and Expression Recognition","score":0.9954000115394592,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8275670409202576},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8106724619865417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7596898674964905},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7128205299377441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6876388192176819},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6380527019500732},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5437390208244324},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5106435418128967},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48718541860580444},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4805908203125},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47301700711250305},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42956069111824036},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4293842911720276},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4252352714538574},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4118429720401764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3854580223560333},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3597460687160492},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10309180617332458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08908739686012268}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8275670409202576},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8106724619865417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596898674964905},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7128205299377441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6876388192176819},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6380527019500732},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5437390208244324},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5106435418128967},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48718541860580444},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4805908203125},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47301700711250305},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42956069111824036},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4293842911720276},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4252352714538574},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4118429720401764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3854580223560333},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3597460687160492},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10309180617332458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08908739686012268},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cit.2016.120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2016.120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Computer and Information Technology (CIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1082494435","https://openalex.org/W2002699304","https://openalex.org/W2027902860","https://openalex.org/W2031779765","https://openalex.org/W2059321491","https://openalex.org/W2062959882","https://openalex.org/W2072534270","https://openalex.org/W2076118331","https://openalex.org/W2095642553","https://openalex.org/W2101207645","https://openalex.org/W2116722724","https://openalex.org/W2155925556","https://openalex.org/W2158868693","https://openalex.org/W2275820206","https://openalex.org/W2303085036","https://openalex.org/W2343161864","https://openalex.org/W2367842322","https://openalex.org/W6657449729","https://openalex.org/W6674522558","https://openalex.org/W6683381688","https://openalex.org/W6704141856"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W20047544","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Big":[0],"data":[1,23,33,40,52,68,76,141,162],"analytics":[2],"is":[3,34,86,126],"emerging":[4],"as":[5],"an":[6,82,95],"important":[7],"research":[8,24],"field":[9],"nowadays":[10],"with":[11,43,48,163,172],"many":[12,44],"technical":[13],"challenges":[14],"that":[15],"confront":[16],"both":[17],"commercial":[18],"IT":[19],"deployment":[20],"and":[21,46,108,146],"big":[22,32,116,161],"communities.":[25],"One":[26],"of":[27,31,37,106,111,120,153,160,166],"the":[28,35,62,77,109,150],"inherent":[29],"problems":[30],"curse":[36],"dimensionality.":[38],"Modern":[39],"are":[41,135,168],"described":[42],"attributes":[45,148],"stored":[47],"high":[49,74],"dimensions.":[50],"In":[51,100],"analytics,":[53],"feature":[54,84,123,132,175,194],"selection":[55,124,133,176,195],"has":[56],"been":[57],"popularly":[58],"used":[59],"to":[60,87,94,102,192],"lighten":[61],"processing":[63,114,139],"load":[64],"in":[65,98,128,190],"inducing":[66],"a":[67,118,186],"mining":[69,73],"model.":[70],"However,":[71],"when":[72],"dimensional":[75],"search":[78],"space":[79],"from":[80],"which":[81],"optimal":[83],"subset":[85],"be":[88],"derived":[89],"grows":[90],"exponentially.":[91],"That":[92],"leads":[93],"intractable":[96],"demand":[97],"computation.":[99],"order":[101],"tackle":[103],"this":[104,129],"problem":[105],"high-dimensionality":[107],"challenge":[110],"achieving":[112],"high-speed":[113],"over":[115],"data,":[117],"collection":[119],"novel":[121],"lightweight":[122],"methods":[125,134,180],"proposed":[127],"paper.":[130],"The":[131,178],"designed":[136],"particularly":[137],"for":[138],"high-dimensional":[140],"quickly,":[142],"by":[143],"fast":[144],"clustering":[145],"separating":[147],"using":[149],"standardized":[151],"measure":[152],"dispersion.":[154],"For":[155],"performance":[156],"evaluation,":[157],"several":[158],"types":[159],"large":[164],"degrees":[165],"dimensionality":[167],"put":[169],"under":[170],"test":[171],"our":[173],"new":[174,179],"algorithms.":[177],"achieve":[181],"enhanced":[182],"classification":[183],"accuracy":[184],"within":[185],"relatively":[187],"short":[188],"time":[189],"comparison":[191],"existing":[193],"methods.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
