{"id":"https://openalex.org/W4391098771","doi":"https://doi.org/10.1007/s10994-023-06501-y","title":"Distributed and explainable GHSOM for anomaly detection in sensor networks","display_name":"Distributed and explainable GHSOM for anomaly detection in sensor networks","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4391098771","doi":"https://doi.org/10.1007/s10994-023-06501-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-023-06501-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06501-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06501-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06501-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010088261","display_name":"Paolo Mignone","orcid":"https://orcid.org/0000-0002-8641-7880"},"institutions":[{"id":"https://openalex.org/I4210152452","display_name":"Consorzio Interuniversitario Nazionale per l'Informatica","ror":"https://ror.org/03v8v5y65","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210152452"]},{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Mignone","raw_affiliation_strings":["Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","Department of Computer Science, University of Bari Aldo Moro, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8641-7880","affiliations":[{"raw_affiliation_string":"Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","institution_ids":["https://openalex.org/I4210152452"]},{"raw_affiliation_string":"Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010914442","display_name":"Roberto Corizzo","orcid":"https://orcid.org/0000-0001-8366-6059"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]},{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Roberto Corizzo","raw_affiliation_strings":["Department of Computer Science, American University, Washington, DC, 20016, USA","Department of Computer Science, University of Bari Aldo Moro, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8366-6059","affiliations":[{"raw_affiliation_string":"Department of Computer Science, American University, Washington, DC, 20016, USA","institution_ids":["https://openalex.org/I181401687"]},{"raw_affiliation_string":"Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073750332","display_name":"Michelangelo Ceci","orcid":"https://orcid.org/0000-0002-6690-7583"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210152452","display_name":"Consorzio Interuniversitario Nazionale per l'Informatica","ror":"https://ror.org/03v8v5y65","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210152452"]},{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT","SI"],"is_corresponding":false,"raw_author_name":"Michelangelo Ceci","raw_affiliation_strings":["Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","Department of Knowledge Technologies, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0002-6690-7583","affiliations":[{"raw_affiliation_string":"Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","institution_ids":["https://openalex.org/I4210152452"]},{"raw_affiliation_string":"Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]},{"raw_affiliation_string":"Department of Knowledge Technologies, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010088261"],"corresponding_institution_ids":["https://openalex.org/I4210152452","https://openalex.org/I5561750"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":4.1312,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94326834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"113","issue":"7","first_page":"4445","last_page":"4486"},"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":0.9990000128746033,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587297558784485},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7226611971855164},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6109082698822021},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5966560244560242},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5167838335037231},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5046402215957642},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.49000635743141174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47149723768234253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46086323261260986},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.43490657210350037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587297558784485},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7226611971855164},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6109082698822021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5966560244560242},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5167838335037231},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5046402215957642},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.49000635743141174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47149723768234253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46086323261260986},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.43490657210350037},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-023-06501-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06501-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06501-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:ricerca.uniba.it:11586/471314","is_oa":true,"landing_page_url":"https://hdl.handle.net/11586/471314","pdf_url":"https://ricerca.uniba.it/bitstream/11586/471314/1/s10994-023-06501-y.pdf","source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10994-023-06501-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06501-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06501-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4908658011","display_name":null,"funder_award_id":"Grant n. 883286","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G6107215071","display_name":null,"funder_award_id":"CUP H94I20000410008, Grant n. 7EDD092A","funder_id":"https://openalex.org/F4320326082","funder_display_name":"Regione Puglia"}],"funders":[{"id":"https://openalex.org/F4320326082","display_name":"Regione Puglia","ror":"https://ror.org/039k11f95"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391098771.pdf"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W92454686","https://openalex.org/W1492683456","https://openalex.org/W1537430301","https://openalex.org/W1554085250","https://openalex.org/W1556344493","https://openalex.org/W1806891645","https://openalex.org/W1874523587","https://openalex.org/W1934019294","https://openalex.org/W1941427975","https://openalex.org/W1967228187","https://openalex.org/W1977555035","https://openalex.org/W1986332411","https://openalex.org/W1990517717","https://openalex.org/W1991510770","https://openalex.org/W2002633798","https://openalex.org/W2006138711","https://openalex.org/W2020524857","https://openalex.org/W2025653905","https://openalex.org/W2032280284","https://openalex.org/W2034813969","https://openalex.org/W2041559880","https://openalex.org/W2042790056","https://openalex.org/W2057117782","https://openalex.org/W2072914889","https://openalex.org/W2077593512","https://openalex.org/W2104651946","https://openalex.org/W2118023920","https://openalex.org/W2118209142","https://openalex.org/W2122646361","https://openalex.org/W2127979711","https://openalex.org/W2134070140","https://openalex.org/W2296719434","https://openalex.org/W2406426950","https://openalex.org/W2508380041","https://openalex.org/W2579718262","https://openalex.org/W2600859289","https://openalex.org/W2743138268","https://openalex.org/W2785362611","https://openalex.org/W2804522644","https://openalex.org/W2903627172","https://openalex.org/W2937657120","https://openalex.org/W2966587068","https://openalex.org/W2977545581","https://openalex.org/W2981025625","https://openalex.org/W2989993030","https://openalex.org/W3003623942","https://openalex.org/W3004993122","https://openalex.org/W3023625663","https://openalex.org/W3032026348","https://openalex.org/W3039222472","https://openalex.org/W3080995048","https://openalex.org/W3083176882","https://openalex.org/W3088610688","https://openalex.org/W3098957257","https://openalex.org/W3107249503","https://openalex.org/W3128465814","https://openalex.org/W3173100042","https://openalex.org/W3205303036","https://openalex.org/W3210482950","https://openalex.org/W3214093725","https://openalex.org/W4200556376","https://openalex.org/W4206151196","https://openalex.org/W4214614245","https://openalex.org/W4225888491","https://openalex.org/W4230375458","https://openalex.org/W4231109964","https://openalex.org/W4285176337","https://openalex.org/W4310430133","https://openalex.org/W4312961412","https://openalex.org/W4318147156","https://openalex.org/W6674805939","https://openalex.org/W6757844995","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W2545348020","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W2130893381","https://openalex.org/W1990856605","https://openalex.org/W3120436346"],"abstract_inverted_index":{"Abstract":[0],"The":[1,138],"identification":[2,56],"of":[3,26,38,57,106,142,148,189,214,224,292,302,313],"anomalous":[4,293],"activities":[5],"is":[6,18,54,267],"a":[7,88,96,104,117,159,260,283],"challenging":[8],"and":[9,32,103,172,185,238,244,306],"crucially":[10],"important":[11],"task":[12,17,53],"in":[13,29,44,108,221,282,295,309,315],"sensor":[14,175,233],"networks.":[15],"This":[16],"becoming":[19],"increasingly":[20],"complex":[21],"with":[22,150,192],"the":[23,36,55,82,109,143,146,168,187,190,207,212,215,251,265,273,290,296,300,311],"increasing":[24],"volume":[25,275],"data":[27,92,149,274],"generated":[28],"real-world":[30,232],"domains,":[31],"greatly":[33],"benefits":[34],"from":[35],"use":[37,49],"predictive":[39],"models":[40],"to":[41,84,133,170,194,202,269],"identify":[42],"anomalies":[43],"real":[45],"time.":[46],"A":[47],"key":[48],"case":[50],"for":[51,130],"this":[52,113],"misbehavior":[58],"that":[59,122,250,264],"may":[60],"be":[61],"caused":[62],"by":[63,78,153],"involuntary":[64],"faults":[65],"or":[66],"deliberate":[67],"actions.":[68],"However,":[69],"currently":[70],"adopted":[71],"anomaly":[72,135,216,256],"detection":[73,136,217,257],"methods":[74],"are":[75,228],"often":[76],"affected":[77],"limitations":[79],"such":[80],"as":[81,158,272],"inability":[83],"analyze":[85,173],"large-scale":[86,174],"data,":[87],"reduced":[89],"effectiveness":[90,301],"when":[91],"presents":[93],"multiple":[94,151,155,279],"densities,":[95,152],"strong":[97],"dependence":[98],"on":[99,230,289],"user-defined":[100],"threshold":[101],"configurations,":[102],"lack":[105],"explainability":[107,199],"extracted":[110],"predictions.":[111],"In":[112],"paper,":[114],"we":[115],"propose":[116],"distributed":[118,284],"deep":[119],"learning":[120],"method":[121,144,169,191,253,266],"extends":[123],"growing":[124],"hierarchical":[125],"self-organizing":[126],"maps,":[127],"originally":[128],"designed":[129],"clustering":[131],"tasks,":[132],"address":[134],"tasks.":[137],"SOM-based":[139],"modeling":[140],"capabilities":[141],"enable":[145],"analysis":[147,262],"exploiting":[154],"SOMs":[156],"organized":[157],"hierarchy.":[160],"Our":[161,247],"map-reduce":[162],"implementation":[163],"under":[164],"Apache":[165],"Spark":[166],"allows":[167],"process":[171],"network":[176,234],"data.":[177],"An":[178],"automatic":[179],"threshold-tuning":[180],"strategy":[181],"reduces":[182],"user":[183],"efforts":[184],"increases":[186],"robustness":[188],"respect":[193],"noisy":[195],"instances.":[196],"Moreover,":[197],"an":[198],"component":[200],"resorting":[201],"instance-based":[203],"feature":[204],"ranking":[205],"emphasizes":[206],"most":[208],"salient":[209],"features":[210],"influencing":[211],"decisions":[213],"model,":[218],"supporting":[219],"users":[220],"their":[222],"understanding":[223],"raised":[225,316],"alerts.":[226,317],"Experiments":[227],"conducted":[229],"five":[231],"datasets,":[235],"including":[236],"wind":[237],"photovoltaic":[239],"energy":[240],"production,":[241],"vehicular":[242],"traffic,":[243],"pedestrian":[245],"flows.":[246],"results":[248],"show":[249],"proposed":[252,304],"outperforms":[254],"state-of-the-art":[255],"competitors.":[258],"Furthermore,":[259],"scalability":[261],"reveals":[263],"able":[268],"scale":[270],"linearly":[271],"presented":[276],"increases,":[277],"leveraging":[278],"worker":[280],"nodes":[281],"computing":[285],"setting.":[286],"Qualitative":[287],"analyses":[288],"level":[291,312],"pollen":[294],"air":[297],"further":[298],"emphasize":[299],"our":[303],"method,":[305],"its":[307],"potential":[308],"determining":[310],"danger":[314]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}