{"id":"https://openalex.org/W2768149499","doi":"https://doi.org/10.1109/icci-cc.2017.8109768","title":"A cognitive approach for attribute selection in internet dataset","display_name":"A cognitive approach for attribute selection in internet dataset","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2768149499","doi":"https://doi.org/10.1109/icci-cc.2017.8109768","mag":"2768149499"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2017.8109768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2017.8109768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-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/A5061872169","display_name":"Danish Kaleem","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Danish Kaleem","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078474142","display_name":"Ken Ferens","orcid":"https://orcid.org/0000-0002-1031-0518"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ken Ferens","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061872169"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15333405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"234","issue":null,"first_page":"319","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.992900013923645,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7888347506523132},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6267325282096863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.545205295085907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5204598903656006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5120607018470764},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46628260612487793},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4514462351799011},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4311177432537079},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3806946575641632},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10436713695526123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888347506523132},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6267325282096863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.545205295085907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5204598903656006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5120607018470764},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46628260612487793},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4514462351799011},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4311177432537079},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3806946575641632},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10436713695526123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2017.8109768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2017.8109768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1570186348","https://openalex.org/W1582392998","https://openalex.org/W1586444875","https://openalex.org/W1604140885","https://openalex.org/W1608549042","https://openalex.org/W1680622244","https://openalex.org/W1980132690","https://openalex.org/W1989540221","https://openalex.org/W2002765377","https://openalex.org/W2017060484","https://openalex.org/W2017337590","https://openalex.org/W2028070713","https://openalex.org/W2028362538","https://openalex.org/W2040884411","https://openalex.org/W2071792840","https://openalex.org/W2071908367","https://openalex.org/W2107975633","https://openalex.org/W2157354484","https://openalex.org/W2167101736","https://openalex.org/W2296509296","https://openalex.org/W2414051397","https://openalex.org/W2463946433","https://openalex.org/W2565516711","https://openalex.org/W3009021752","https://openalex.org/W4299830491","https://openalex.org/W6635042280","https://openalex.org/W6719537816"],"related_works":["https://openalex.org/W2018095561","https://openalex.org/W4243126553","https://openalex.org/W4235480743","https://openalex.org/W2131144012","https://openalex.org/W4390750143","https://openalex.org/W2145057176","https://openalex.org/W2918505119","https://openalex.org/W2260771218","https://openalex.org/W2074148701","https://openalex.org/W4285229239"],"abstract_inverted_index":{"With":[0],"the":[1,20,23,30,34,50,127],"evolution":[2],"of":[3,19,25,36,94,97,103,124,171],"internet,":[4,37],"there":[5],"has":[6,115],"been":[7,116],"an":[8,87],"unprecedented":[9],"and":[10,17,22,44,64,67,70,86,111,156,159],"unlimited":[11],"growth":[12],"in":[13,33,164],"volume,":[14],"velocity,":[15],"veracity":[16],"variety":[18],"data":[21,26,38,51,61,79,99,105,128,145,197],"complexity":[24,157],"attributes":[27,96,167,192],"is":[28,39,80,134,142],"on":[29],"rise.":[31],"Further,":[32],"domain":[35,152],"not":[40,56],"geo-centric":[41],"any":[42],"longer":[43],"multiple":[45,95],"locations":[46],"are":[47],"contributing":[48],"to":[49,58,121,136,138,169,189],"acquisition":[52],"technologies":[53,66],"including":[54],"but":[55,130],"limited":[57],"packet":[59],"captures,":[60],"logs,":[62],"routing":[63],"switching":[65],"security":[68],"detection":[69],"prevention":[71],"systems.":[72],"It":[73],"can":[74,89],"be":[75,90],"stated":[76],"that":[77],"internet":[78,196],"highly":[81],"sparse":[82],"with":[83],"high":[84],"dimensionality":[85],"event":[88],"represented":[91],"by":[92],"correlation":[93],"a":[98,180],"set.":[100],"Notwithstanding,":[101],"analysis":[102,133,149,158],"such":[104],"set":[106,129],"takes":[107],"enormous":[108],"human":[109,131],"efforts":[110],"time.":[112],"Machine":[113],"learning":[114,139,155],"found":[117],"as":[118],"promising":[119],"candidate":[120],"extract":[122,190],"information":[123],"interest":[125],"from":[126,193],"cognitive":[132,151,172,183],"required":[135],"feed":[137],"algorithms":[140],"which":[141],"also":[143],"called":[144],"preprocessing":[146],"stage.":[147],"This":[148],"requires":[150],"knowledge,":[153],"experiential":[154],"therefore,":[160],"traditional":[161],"models":[162],"fail":[163],"selecting":[165],"proper":[166],"due":[168],"nonexistence":[170],"aspects.":[173],"In":[174],"this":[175],"work,":[176],"authors":[177],"have":[178],"proposed":[179],"fractal":[181],"based":[182],"model":[184],"for":[185],"artificial":[186],"neural":[187],"network":[188],"important":[191],"two":[194],"different":[195],"sets.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}