{"id":"https://openalex.org/W2730943916","doi":"https://doi.org/10.1007/s00521-017-3128-z","title":"An in-depth experimental study of anomaly detection using gradient boosted machine","display_name":"An in-depth experimental study of anomaly detection using gradient boosted machine","publication_year":2017,"publication_date":"2017-07-05","ids":{"openalex":"https://openalex.org/W2730943916","doi":"https://doi.org/10.1007/s00521-017-3128-z","mag":"2730943916"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-017-3128-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-3128-z","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-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/A5014306565","display_name":"Bayu Adhi Tama","orcid":"https://orcid.org/0000-0002-1821-6438"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]},{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["ID","KR"],"is_corresponding":false,"raw_author_name":"Bayu Adhi Tama","raw_affiliation_strings":["Faculty of Computer Science, University of Sriwijaya, Jln. Raya Palembang-Prabumulih Km.32, Inderalaya, OI, Sumatera Selatan, Indonesia","IT Convergence and Application Engineering, Pukyong National University, Daeyon Campus, 45, Yongso-ro, Nam-gu, Busan, 48513, South Korea","Faculty of Computer Science, University of Sriwijaya, Inderalaya, Indonesia","IT Convergence and Application Engineering, Pukyong National University, Busan, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1821-6438","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Sriwijaya, Jln. Raya Palembang-Prabumulih Km.32, Inderalaya, OI, Sumatera Selatan, Indonesia","institution_ids":["https://openalex.org/I271888150"]},{"raw_affiliation_string":"IT Convergence and Application Engineering, Pukyong National University, Daeyon Campus, 45, Yongso-ro, Nam-gu, Busan, 48513, South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Faculty of Computer Science, University of Sriwijaya, Inderalaya, Indonesia","institution_ids":["https://openalex.org/I271888150"]},{"raw_affiliation_string":"IT Convergence and Application Engineering, Pukyong National University, Busan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062966058","display_name":"Kyung-Hyune Rhee","orcid":"https://orcid.org/0000-0003-0466-8254"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyung-Hyune Rhee","raw_affiliation_strings":["IT Convergence and Application Engineering, Pukyong National University, Daeyon Campus, 45, Yongso-ro, Nam-gu, Busan, 48513, South Korea","IT Convergence and Application Engineering, Pukyong National University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Convergence and Application Engineering, Pukyong National University, Daeyon Campus, 45, Yongso-ro, Nam-gu, Busan, 48513, South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"IT Convergence and Application Engineering, Pukyong National University, Busan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062966058"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":4.8327,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.95611714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"31","issue":"4","first_page":"955","last_page":"965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7513043880462646},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7071632146835327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6462923288345337},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6411083936691284},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6385533809661865},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6211708784103394},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5530253648757935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5226171612739563},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5134416818618774},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48754996061325073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4849696159362793},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.4806041419506073},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4704493582248688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4596734642982483},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.41193005442619324},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.41158056259155273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513043880462646},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7071632146835327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6462923288345337},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6411083936691284},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6385533809661865},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6211708784103394},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5530253648757935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5226171612739563},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5134416818618774},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48754996061325073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4849696159362793},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.4806041419506073},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4704493582248688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4596734642982483},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.41193005442619324},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.41158056259155273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-017-3128-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-3128-z","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G3485566351","display_name":null,"funder_award_id":"NRF-2014R1A2A1A11052981","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W103650626","https://openalex.org/W1576809010","https://openalex.org/W1594031697","https://openalex.org/W1678356000","https://openalex.org/W1831050183","https://openalex.org/W1981399499","https://openalex.org/W1998177457","https://openalex.org/W2002900768","https://openalex.org/W2016023958","https://openalex.org/W2042495914","https://openalex.org/W2058614926","https://openalex.org/W2083911205","https://openalex.org/W2091414860","https://openalex.org/W2099940443","https://openalex.org/W2105779206","https://openalex.org/W2119821739","https://openalex.org/W2153635508","https://openalex.org/W2155806188","https://openalex.org/W2160598920","https://openalex.org/W2165466912","https://openalex.org/W2284098035","https://openalex.org/W2296509296","https://openalex.org/W2334853001","https://openalex.org/W2341565875","https://openalex.org/W2418891196","https://openalex.org/W2426032775","https://openalex.org/W2460801964","https://openalex.org/W2479602122","https://openalex.org/W2563303831","https://openalex.org/W2595351768","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W3085162807","https://openalex.org/W4247783484"],"related_works":["https://openalex.org/W2393267898","https://openalex.org/W2369874171","https://openalex.org/W2383301100","https://openalex.org/W2392864074","https://openalex.org/W2352639800","https://openalex.org/W3112374511","https://openalex.org/W4283582846","https://openalex.org/W2931259","https://openalex.org/W4200409524","https://openalex.org/W2997814891"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":8}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2025-10-10T00:00:00"}