{"id":"https://openalex.org/W2755302855","doi":"https://doi.org/10.1007/978-3-319-68210-5_16","title":"System Problem Detection by Mining Process Model from Console Logs","display_name":"System Problem Detection by Mining Process Model from Console Logs","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2755302855","doi":"https://doi.org/10.1007/978-3-319-68210-5_16","mag":"2755302855"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-68210-5_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-68210-5_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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 Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://inria.hal.science/hal-01705438","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100774281","display_name":"Jian Li","orcid":"https://orcid.org/0000-0003-3007-1443"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100648774","display_name":"Jian Cao","orcid":"https://orcid.org/0000-0002-0036-9436"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100774281"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.5504,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66811996,"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":"140","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9997000098228455,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9997000098228455,"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/T11719","display_name":"Data Quality and Management","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.8609671592712402},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6917906403541565},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.680472731590271},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6386367678642273},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6282590627670288},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6258325576782227},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6227125525474548},{"id":"https://openalex.org/keywords/system-call","display_name":"System call","score":0.45494744181632996},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.45288801193237305},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.4196256697177887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3436877727508545},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.22710806131362915},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09345021843910217},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.09279870986938477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8609671592712402},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6917906403541565},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.680472731590271},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6386367678642273},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6282590627670288},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6258325576782227},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6227125525474548},{"id":"https://openalex.org/C2778579508","wikidata":"https://www.wikidata.org/wiki/Q722192","display_name":"System call","level":2,"score":0.45494744181632996},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.45288801193237305},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.4196256697177887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3436877727508545},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.22710806131362915},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09345021843910217},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.09279870986938477},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-68210-5_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-68210-5_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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 Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01705438v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01705438","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"14th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2017, Hefei, China. pp.140-144, &#x27E8;10.1007/978-3-319-68210-5_16&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01705438v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01705438","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"14th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2017, Hefei, China. pp.140-144, &#x27E8;10.1007/978-3-319-68210-5_16&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1540258466","https://openalex.org/W2038819732","https://openalex.org/W2039157918","https://openalex.org/W2101238481","https://openalex.org/W2122646361","https://openalex.org/W2134274113","https://openalex.org/W2401686019","https://openalex.org/W2560021099"],"related_works":["https://openalex.org/W4365511202","https://openalex.org/W2150478723","https://openalex.org/W4300560926","https://openalex.org/W2608662023","https://openalex.org/W4214835788","https://openalex.org/W2158991459","https://openalex.org/W2891652452","https://openalex.org/W4206552806","https://openalex.org/W11100131","https://openalex.org/W2808742510"],"abstract_inverted_index":{"Given":[0],"the":[1,16,36,45,54,73,78,86,145],"explosive":[2],"growth":[3],"of":[4],"large-scale":[5],"services,":[6],"manually":[7],"detecting":[8],"problems":[9,142],"from":[10,30,56,72,108],"console":[11,31,46],"logs":[12,47],"is":[13,70,148],"infeasible.":[14],"In":[15,43],"current":[17],"study,":[18],"we":[19,84],"propose":[20],"a":[21,67],"novel":[22],"process":[23,28,38,68,87,146],"mining":[24],"algorithm":[25],"to":[26,40,63,76,89,134,150],"discover":[27],"model":[29,39,69,88,147],"logs,":[32],"and":[33,53,114,131],"further":[34,61],"use":[35,85],"obtained":[37],"detect":[41,90,106],"anomalies.":[42],"brief,":[44],"are":[48,60],"first":[49],"parsed":[50],"into":[51],"events,":[52],"events":[55],"one":[57],"single":[58],"session":[59],"grouped":[62],"event":[64,74],"sequences.":[65],"Then,":[66],"mined":[71],"sequences":[75],"describe":[77],"main":[79],"system":[80],"behaviors.":[81],"At":[82],"last,":[83],"anomalous":[91],"log":[92,99,109],"information.":[93],"Experiments":[94],"on":[95],"Hadoop":[96],"File":[97],"System":[98],"dataset":[100],"show":[101],"that":[102],"this":[103],"approach":[104,127],"can":[105,128],"anomalies":[107],"messages":[110],"with":[111,119],"high":[112],"accuracy":[113],"few":[115],"false":[116],"positives.":[117],"Compared":[118],"previously":[120],"proposed":[121],"automatic":[122],"anomaly":[123],"detection":[124],"methods,":[125],"our":[126],"provide":[129],"intuitive":[130],"meaningful":[132],"explanations":[133],"human":[135],"operators":[136],"as":[137,139],"well":[138],"identify":[140],"real":[141],"accurately.":[143],"Furthermore,":[144],"easy":[149],"understand.":[151]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
