{"id":"https://openalex.org/W165507851","doi":"https://doi.org/10.1007/978-3-319-07869-4_2","title":"An Evolutionary Improvement of the Mahalanobis \u2013 Taguchi Strategy and Its Application to Intrusion Detection","display_name":"An Evolutionary Improvement of the Mahalanobis \u2013 Taguchi Strategy and Its Application to Intrusion Detection","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W165507851","doi":"https://doi.org/10.1007/978-3-319-07869-4_2","mag":"165507851"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-07869-4_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-07869-4_2","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"type":"book-chapter","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/A5020999523","display_name":"Dimitris Liparas","orcid":"https://orcid.org/0000-0001-9968-725X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Dimitris Liparas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064619640","display_name":"Evangelia Pantraki","orcid":"https://orcid.org/0000-0002-0359-9667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evangelia Pantraki","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020999523"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.04571213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10494","display_name":"Plant Virus Research Studies","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10494","display_name":"Plant Virus Research Studies","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9556999802589417,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9116806983947754},{"id":"https://openalex.org/keywords/taguchi-methods","display_name":"Taguchi methods","score":0.7773942947387695},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6522431373596191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202420592308044},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6055047512054443},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5559817552566528},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5154517292976379},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49617800116539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49136343598365784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4897432327270508},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4806629419326782},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4787406325340271},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4491290748119354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33087795972824097},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2587909400463104}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.9116806983947754},{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.7773942947387695},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6522431373596191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202420592308044},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6055047512054443},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5559817552566528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5154517292976379},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49617800116539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49136343598365784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4897432327270508},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4806629419326782},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4787406325340271},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4491290748119354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33087795972824097},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2587909400463104},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-07869-4_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-07869-4_2","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W288036102","https://openalex.org/W376961572","https://openalex.org/W565220493","https://openalex.org/W617456691","https://openalex.org/W1504694836","https://openalex.org/W1639032689","https://openalex.org/W1765086236","https://openalex.org/W1912123407","https://openalex.org/W1968416356","https://openalex.org/W1970169482","https://openalex.org/W1977264295","https://openalex.org/W1985716252","https://openalex.org/W1996704295","https://openalex.org/W1999349314","https://openalex.org/W2016070752","https://openalex.org/W2020355555","https://openalex.org/W2025301900","https://openalex.org/W2028569720","https://openalex.org/W2030553727","https://openalex.org/W2035696021","https://openalex.org/W2047094503","https://openalex.org/W2052900991","https://openalex.org/W2061109241","https://openalex.org/W2062634819","https://openalex.org/W2083911205","https://openalex.org/W2087327261","https://openalex.org/W2099940443","https://openalex.org/W2101109743","https://openalex.org/W2112440119","https://openalex.org/W2123950145","https://openalex.org/W2125055259","https://openalex.org/W2137312325","https://openalex.org/W2141254179","https://openalex.org/W2141278204","https://openalex.org/W2146196597","https://openalex.org/W2149799448","https://openalex.org/W2153635508","https://openalex.org/W2154299908","https://openalex.org/W2160598920","https://openalex.org/W2248397212","https://openalex.org/W2570027862","https://openalex.org/W2678934292","https://openalex.org/W2724478239","https://openalex.org/W2911964244","https://openalex.org/W3023540311","https://openalex.org/W4237301095","https://openalex.org/W4249150173"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2141801573","https://openalex.org/W2355463328","https://openalex.org/W1431147547","https://openalex.org/W3006927476","https://openalex.org/W2249605127","https://openalex.org/W2367484911","https://openalex.org/W2065647610","https://openalex.org/W2570027862","https://openalex.org/W1974756554"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}