{"id":"https://openalex.org/W2794090615","doi":"https://doi.org/10.1109/access.2018.2804764","title":"HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes","display_name":"HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2794090615","doi":"https://doi.org/10.1109/access.2018.2804764","mag":"2794090615"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2804764","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2804764","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2804764","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027731066","display_name":"Yongqian Sun","orcid":"https://orcid.org/0000-0003-0266-7899"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongqian Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101491459","display_name":"Youjian Zhao","orcid":"https://orcid.org/0000-0001-9841-1796"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youjian Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028459386","display_name":"Ya Su","orcid":"https://orcid.org/0000-0002-4432-1135"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Su","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693875","display_name":"Dapeng Liu","orcid":"https://orcid.org/0000-0002-8822-656X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Liu","raw_affiliation_strings":["Department of Intelligent Operation, Baidu, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Operation, Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900805","display_name":"Xiaohui Nie","orcid":"https://orcid.org/0000-0002-0371-854X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Nie","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050528589","display_name":"Yuan Meng","orcid":"https://orcid.org/0000-0001-6468-8623"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Meng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044359235","display_name":"Shiwen Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen Cheng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046419834","display_name":"Dan Pei","orcid":"https://orcid.org/0000-0002-5113-838X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Pei","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072210083","display_name":"Shenglin Zhang","orcid":"https://orcid.org/0000-0003-0330-0028"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglin Zhang","raw_affiliation_strings":["School of Software, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046586180","display_name":"Xianping Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianping Qu","raw_affiliation_strings":["Department of Intelligent Operation, Baidu, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Operation, Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024246398","display_name":"Xuanyou Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyou Guo","raw_affiliation_strings":["Department of Intelligent Operation, Baidu, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Operation, Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5027731066"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.2598,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.95252741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"10909","last_page":"10923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991000294685364,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9991000294685364,"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":0.9987999796867371,"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/T12127","display_name":"Software System Performance and Reliability","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.8242055177688599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894042491912842},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5457101464271545},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.5229971408843994},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.4894320070743561},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.47367650270462036},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.17383962869644165},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14491361379623413}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.8242055177688599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894042491912842},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5457101464271545},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.5229971408843994},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.4894320070743561},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.47367650270462036},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.17383962869644165},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14491361379623413},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2804764","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2804764","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5b0cf8b9121e42cdbba61b7d560cf337","is_oa":true,"landing_page_url":"https://doaj.org/article/5b0cf8b9121e42cdbba61b7d560cf337","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 10909-10923 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2804764","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2804764","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1625390266","https://openalex.org/W1865437296","https://openalex.org/W1966266075","https://openalex.org/W1968439359","https://openalex.org/W1980931819","https://openalex.org/W2035363137","https://openalex.org/W2040366163","https://openalex.org/W2115303222","https://openalex.org/W2124165698","https://openalex.org/W2126316555","https://openalex.org/W2127577941","https://openalex.org/W2140190241","https://openalex.org/W2143522309","https://openalex.org/W2168405694","https://openalex.org/W2257979135","https://openalex.org/W2391120767","https://openalex.org/W2491573534","https://openalex.org/W2495083720","https://openalex.org/W4239383774","https://openalex.org/W4245906277","https://openalex.org/W6639162564","https://openalex.org/W6659235122"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W2993975634","https://openalex.org/W2367835030"],"abstract_inverted_index":{"Additive":[0],"key":[1],"performance":[2],"indicators":[3],"(KPIs)":[4],"(such":[5,17],"as":[6,18],"page":[7],"view":[8],"(PV),":[9],"revenue,":[10],"and":[11,21,25,83,189,214],"error":[12],"count)":[13],"with":[14,228],"multi-dimensional":[15,135],"attributes":[16],"ISP,":[19],"Province,":[20],"DataCenter)":[22],"are":[23,101],"common":[24],"important":[26],"in":[27,30,60,79,134,254],"monitoring":[28],"metrics":[29],"Internet":[31],"companies.":[32],"When":[33],"an":[34,38,235],"anomaly":[35,171],"happens":[36],"to":[37,46,132,142,257],"overall":[39],"KPI,":[40],"it":[41],"is":[42,52,65,88,139],"critical":[43],"but":[44],"challenging":[45,90],"localize":[47],"the":[48,66,72,96,104,108,113,144,154,167,178,183,195,246],"root":[49,109,145,222],"cause,":[50],"which":[51],"one":[53],"(or":[54],"more)":[55],"combination":[56],"of":[57,98,115,128,130,218,221],"attribute":[58,136],"values":[59],"multiple":[61],"dimensions.":[62],"For":[63],"example,":[64],"total":[67],"PV":[68,73,105],"decrease":[69,74],"caused":[70],"by":[71],"from":[75,147,198,249],"\u201cBeijing\u201dor":[76],"\u201cChina":[77],"Mobile":[78],"Beijing\u201d,":[80],"or":[81],"\u201cBeijing":[82],"Shanghai\u201d?":[84],"However,":[85],"this":[86],"task":[87],"very":[89],"for":[91,170],"two":[92],"major":[93],"reasons.":[94],"First,":[95],"PVs":[97,118],"different":[99,120],"combinations":[100,131],"interdependent;":[102],"thus,":[103],"anomalies":[106],"at":[107,119],"cause":[110,112,146,223],"can":[111,244],"changes":[114],"many":[116],"other":[117],"aggregation":[121],"levels.":[122],"Second,":[123],"there":[124],"could":[125],"be":[126],"tens":[127],"thousands":[129],"investigate":[133],"space.":[137,151],"It":[138],"a":[140,148,161,190,199,209],"difficulty":[141],"find":[143],"huge":[149],"search":[150,202],"To":[152,176],"address":[153,177],"first":[155],"challenge,":[156,180],"our":[157],"approach":[158],"HotSpot":[159,181,207,226,243],"uses":[160],"novel":[162],"potential":[163],"score":[164],"based":[165],"on":[166,212],"ripple":[168],"effect":[169],"propagation":[172],"that":[173,206,242],"we":[174,204],"reveal.":[175],"second":[179],"adopts":[182],"Monte":[184],"Carlo":[185],"Tree":[186],"Search":[187],"algorithm":[188],"hierarchical":[191],"pruning":[192],"strategy.":[193],"Using":[194],"real-world":[196],"data":[197],"top":[200],"global":[201],"engine,":[203],"show":[205,241],"achieves":[208,234],"great":[210],"improvement":[211],"effectiveness":[213],"robustness,":[215],"i.e.,":[216],"95%":[217],"all":[219],"types":[220],"cases":[224],"using":[225,231],"(compared":[227],"only":[229],"15%":[230],"existing":[232],"approaches)":[233],"F-score":[236],"over":[237],"90%.":[238],"Operational":[239],"experiences":[240],"reduce":[245],"localization":[247],"time":[248],"more":[250],"than":[251,259],"1":[252],"h":[253],"manual":[255],"efforts":[256],"less":[258],"20":[260],"s.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
