{"id":"https://openalex.org/W2559744600","doi":"https://doi.org/10.3233/978-1-61499-637-8-65","title":"Rough Set Significant Reduction and Rules of Intrusion Detection System","display_name":"Rough Set Significant Reduction and Rules of Intrusion Detection System","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2559744600","doi":"https://doi.org/10.3233/978-1-61499-637-8-65","mag":"2559744600"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-637-8-65","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-637-8-65","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://umpir.ump.edu.my/id/eprint/6801/1/Rough%20Set%20Significant%20Reduction%20and%20Rules%20of%20Intrusion%20Detection%20System.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030741101","display_name":"Sulaiman Noor Suhana","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sulaiman Noor Suhana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070379199","display_name":"R. A. Bakar","orcid":"https://orcid.org/0000-0003-0841-5772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bakar Rohani Abu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.25925926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9926000237464905,"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":0.9832000136375427,"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/reduction","display_name":"Reduction (mathematics)","score":0.7547849416732788},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7147814631462097},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5884653925895691},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.5262909531593323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4524364471435547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37599819898605347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2956819534301758},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2158588171005249},{"id":"https://openalex.org/keywords/geochemistry","display_name":"Geochemistry","score":0.04578971862792969}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7547849416732788},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7147814631462097},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5884653925895691},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.5262909531593323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4524364471435547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37599819898605347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2956819534301758},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2158588171005249},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.04578971862792969},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-637-8-65","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-637-8-65","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:umpir.ump.edu.my:6801","is_oa":true,"landing_page_url":null,"pdf_url":"http://umpir.ump.edu.my/id/eprint/6801/1/Rough%20Set%20Significant%20Reduction%20and%20Rules%20of%20Intrusion%20Detection%20System.pdf","source":{"id":"https://openalex.org/S4377196561","display_name":"UMP Institutional Repository (Universiti Malaysia Pahang)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102913810","host_organization_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","host_organization_lineage":["https://openalex.org/I102913810"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"mag:2559744600","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/icadiwt/icadiwt2016.html#SulaimanB16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:umpir.ump.edu.my:6801","is_oa":true,"landing_page_url":null,"pdf_url":"http://umpir.ump.edu.my/id/eprint/6801/1/Rough%20Set%20Significant%20Reduction%20and%20Rules%20of%20Intrusion%20Detection%20System.pdf","source":{"id":"https://openalex.org/S4377196561","display_name":"UMP Institutional Repository (Universiti Malaysia Pahang)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102913810","host_organization_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","host_organization_lineage":["https://openalex.org/I102913810"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2559744600.pdf"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2034998024","https://openalex.org/W2045207967","https://openalex.org/W2150847526","https://openalex.org/W2615155959"],"related_works":["https://openalex.org/W2387804527","https://openalex.org/W2103840922","https://openalex.org/W2355968574","https://openalex.org/W2166201494","https://openalex.org/W2107349454","https://openalex.org/W2386642237","https://openalex.org/W2376925652","https://openalex.org/W2389210842","https://openalex.org/W2946250706","https://openalex.org/W2352960645"],"abstract_inverted_index":{"Intrusion":[0,151],"Detection":[1,152],"System":[2],"deals":[3],"with":[4,94,99,126,172,194],"huge":[5,95],"amount":[6],"of":[7,46,77,109,135,150,222],"data":[8],"which":[9],"contains":[10],"irrelevant":[11,37],"and":[12,18,53,59,102,113,144,165,175,185,204,231],"redundant":[13,39],"features":[14,40,111],"causing":[15],"slow":[16],"training":[17],"testing":[19],"process,":[20],"also":[21],"higher":[22],"resource":[23],"consumption":[24],"as":[25,27,73],"well":[26],"poor":[28],"detection":[29,83],"rate.":[30],"It":[31],"is":[32,68,88,138],"not":[33],"simply":[34],"removing":[35],"these":[36],"or":[38],"due":[41],"to":[42,119,139,147,159,180],"deteriorate":[43],"the":[44,51,56,60,69,104,121,132,141,161,223,227],"performance":[45,62],"classifiers.":[47],"Furthermore,":[48],"by":[49],"choosing":[50],"effective":[52],"important":[54],"features,":[55],"classification":[57,61,148,169,189,224],"mode":[58],"will":[63],"be":[64,116],"improved.":[65],"Rough":[66,86],"Set":[67,87],"most":[70],"widely":[71],"used":[72],"a":[74,232],"baseline":[75],"technique":[76],"single":[78],"classifier":[79],"approach":[80],"on":[81],"intrusion":[82],"system.":[84],"Typically,":[85],"an":[89],"efficient":[90],"instrument":[91],"in":[92,97,124,220],"dealing":[93,125],"dataset":[96],"concert":[98],"missing":[100],"values":[101],"granularing":[103],"features.":[105],"However,":[106],"large":[107],"numbers":[108],"generated":[110],"reducts":[112,143],"rules":[114,145,166,193],"must":[115],"chosen":[117],"cautiously":[118],"reduce":[120],"processing":[122],"power":[123],"massive":[127],"parameters":[128],"for":[129,167],"classification.":[130],"Hence,":[131],"primary":[133],"objective":[134],"this":[136],"study":[137],"probe":[140],"significant":[142],"prior":[146],"process":[149],"System.":[153],"All":[154],"embracing":[155],"analyses":[156],"are":[157,178,208,218],"presented":[158],"eradicate":[160],"insignificant":[162],"attributes,":[163],"reduct":[164],"better":[168],"taxonomy.":[170],"Reducts":[171],"core":[173],"attributes":[174],"minimal":[176],"cardinality":[177],"preferred":[179],"construct":[181],"new":[182,233],"decision":[183,229,234],"table,":[184],"subsequently":[186],"generate":[187],"high":[188,199,205,213],"rates.":[190],"In":[191],"addition,":[192],"highest":[195],"support,":[196],"fewer":[197],"length,":[198],"Rule":[200],"Importance":[201],"Measure":[202],"(RIM)":[203],"coverage":[206],"rule":[207],"favored":[209],"since":[210],"they":[211],"reveal":[212],"quality":[214],"performance.":[215],"The":[216],"results":[217],"compared":[219],"terms":[221],"accuracy":[225],"between":[226],"original":[228],"table":[230],"table.":[235]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}