{"id":"https://openalex.org/W1616516658","doi":"https://doi.org/10.1109/iccis.2015.7274631","title":"Kernel neighbor density with parallel computing mechanism for anomaly detection algorithm","display_name":"Kernel neighbor density with parallel computing mechanism for anomaly detection algorithm","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1616516658","doi":"https://doi.org/10.1109/iccis.2015.7274631","mag":"1616516658"},"language":"en","primary_location":{"id":"doi:10.1109/iccis.2015.7274631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccis.2015.7274631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","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/A5001485053","display_name":"Rui Ma","orcid":"https://orcid.org/0000-0002-2260-7554"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Ma","raw_affiliation_strings":["The State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084856540","display_name":"Hui Cao","orcid":"https://orcid.org/0000-0003-3301-2713"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Hui Cao","raw_affiliation_strings":["Faculty of Engineering & Advanced Robotics Centre, National University of Singapore, Singapore","The State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering & Advanced Robotics Centre, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"The State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["Faculty of Engineering & Advanced Robotics Centre, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering & Advanced Robotics Centre, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032340829","display_name":"Hongliang Ren","orcid":"https://orcid.org/0000-0002-6488-1551"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hongliang Ren","raw_affiliation_strings":["Faculty of Engineering & Advanced Robotics Centre, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering & Advanced Robotics Centre, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001485053"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02410535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"259","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7766128182411194},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7128142714500427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6445393562316895},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.6083586812019348},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.5848807096481323},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5791045427322388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5148217082023621},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4995443820953369},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.48567235469818115},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4695212244987488},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4569672644138336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2882336378097534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.287221223115921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2555735111236572},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24852672219276428},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06428912281990051}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7766128182411194},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7128142714500427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6445393562316895},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.6083586812019348},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.5848807096481323},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5791045427322388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5148217082023621},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4995443820953369},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.48567235469818115},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4695212244987488},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4569672644138336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2882336378097534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.287221223115921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2555735111236572},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24852672219276428},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06428912281990051},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccis.2015.7274631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccis.2015.7274631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"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":24,"referenced_works":["https://openalex.org/W21410603","https://openalex.org/W41291509","https://openalex.org/W1564719599","https://openalex.org/W1660390307","https://openalex.org/W1969196867","https://openalex.org/W1992699253","https://openalex.org/W2002772577","https://openalex.org/W2019014808","https://openalex.org/W2056643656","https://openalex.org/W2061122559","https://openalex.org/W2063729131","https://openalex.org/W2075714119","https://openalex.org/W2086570643","https://openalex.org/W2086600682","https://openalex.org/W2087270044","https://openalex.org/W2088723052","https://openalex.org/W2126966660","https://openalex.org/W2137130182","https://openalex.org/W2141741236","https://openalex.org/W2144182447","https://openalex.org/W2154385876","https://openalex.org/W4254182148","https://openalex.org/W6601678686","https://openalex.org/W6633685256"],"related_works":["https://openalex.org/W4379259010","https://openalex.org/W2964366498","https://openalex.org/W2098028537","https://openalex.org/W4221107122","https://openalex.org/W2366185040","https://openalex.org/W2534410773","https://openalex.org/W2140869420","https://openalex.org/W2364583776","https://openalex.org/W2610404083","https://openalex.org/W2382704364"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,31],"is":[2,62,83],"an":[3],"important":[4],"research":[5],"direction":[6],"in":[7,43],"the":[8,39,52,56,60,63,67,76,87,103,112,120,125,130],"field":[9],"of":[10,41,59,75,89,105,115,122],"data":[11,77],"mining":[12],"and":[13,79,96,124],"industrial":[14],"dataset":[15],"preprocess.":[16],"The":[17,33,107],"paper":[18],"proposed":[19],"a":[20,71],"kernel":[21,34,99,116,127],"neighbor":[22,35,117],"density":[23,36,40,118],"definition":[24,68,114],"with":[25],"parallel":[26,80],"computing":[27,81],"mechanism":[28,82],"for":[29],"anomaly":[30],"algorithm.":[32],"formula":[37],"calculates":[38],"points":[42],"high":[44],"dimensional":[45],"space.":[46],"In":[47],"our":[48],"definition,":[49],"we":[50],"adopt":[51],"median":[53,61],"operation":[54],"because":[55],"breakdown":[57],"point":[58],"largest":[64],"possible.":[65],"So":[66],"could":[69],"be":[70],"very":[72],"robust":[73],"estimate":[74],"location,":[78],"introduced":[84],"to":[85,101],"improve":[86],"efficiency":[88],"algorithms.":[90,106],"We":[91],"use":[92],"two":[93],"real":[94],"datasets":[95],"three":[97],"different":[98],"functions":[100],"evaluate":[102],"performance":[104,121],"experiment":[108],"results":[109],"confirm":[110],"that":[111],"presented":[113],"improves":[119],"algorithms":[123],"Gaussian":[126],"function":[128],"has":[129],"best":[131],"effect.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
