{"id":"https://openalex.org/W4394994370","doi":"https://doi.org/10.26599/bdma.2024.9020016","title":"Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection","display_name":"Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection","publication_year":2024,"publication_date":"2024-04-22","ids":{"openalex":"https://openalex.org/W4394994370","doi":"https://doi.org/10.26599/bdma.2024.9020016"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2024.9020016","is_oa":true,"landing_page_url":"http://dx.doi.org/10.26599/bdma.2024.9020016","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10506765/10506835.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"paratext","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ieeexplore.ieee.org/ielx7/8254253/10506765/10506835.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076120553","display_name":"Xuyun Zhang","orcid":"https://orcid.org/0000-0001-7353-4159"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]},{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU","CA","CN","IN"],"is_corresponding":true,"raw_author_name":"Xuyun Zhang","raw_affiliation_strings":["Macquarie University, Australia.","Deakin University, Australia.","De-Chuan Zhan, Nanjing University, China.","Vellore Institute of Technology, India.","Narges Armanfard, McGill University, Canada."],"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia.","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Deakin University, Australia.","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"De-Chuan Zhan, Nanjing University, China.","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Vellore Institute of Technology, India.","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"Narges Armanfard, McGill University, Canada.","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086734254","display_name":"Ye Zhu","orcid":"https://orcid.org/0000-0003-4776-4932"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]},{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["AU","CA","CN","IN"],"is_corresponding":false,"raw_author_name":"Ye Zhu","raw_affiliation_strings":["De-Chuan Zhan, Nanjing University, China.","Narges Armanfard, McGill University, Canada.","Deakin University, Australia.","Vellore Institute of Technology, India.","Macquarie University, Australia."],"affiliations":[{"raw_affiliation_string":"De-Chuan Zhan, Nanjing University, China.","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Narges Armanfard, McGill University, Canada.","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Deakin University, Australia.","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Vellore Institute of Technology, India.","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"Macquarie University, Australia.","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085408978","display_name":"Aswani Kumar Cherukuri","orcid":"https://orcid.org/0000-0001-8455-9108"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]},{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU","CA","CN","IN"],"is_corresponding":false,"raw_author_name":"Aswani Cherukuri","raw_affiliation_strings":["De-Chuan Zhan, Nanjing University, China.","Narges Armanfard, McGill University, Canada.","Macquarie University, Australia.","Deakin University, Australia.","Vellore Institute of Technology, India."],"affiliations":[{"raw_affiliation_string":"De-Chuan Zhan, Nanjing University, China.","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Narges Armanfard, McGill University, Canada.","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Macquarie University, Australia.","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Deakin University, Australia.","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Vellore Institute of Technology, India.","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076120553"],"corresponding_institution_ids":["https://openalex.org/I149704539","https://openalex.org/I5023651","https://openalex.org/I876193797","https://openalex.org/I881766915","https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04142787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"2","first_page":"562","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9451000094413757,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7175378799438477},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5327114462852478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4950777590274811},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4246810972690582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29925137758255005},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05701437592506409}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7175378799438477},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5327114462852478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4950777590274811},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4246810972690582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29925137758255005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05701437592506409},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2024.9020016","is_oa":true,"landing_page_url":"http://dx.doi.org/10.26599/bdma.2024.9020016","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10506765/10506835.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd6a68970fbe4ff4a1a7187c01e3d0ba","is_oa":true,"landing_page_url":"https://doaj.org/article/bd6a68970fbe4ff4a1a7187c01e3d0ba","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 7, Iss 2, Pp 562-562 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2024.9020016","is_oa":true,"landing_page_url":"http://dx.doi.org/10.26599/bdma.2024.9020016","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10506765/10506835.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394994370.pdf","grobid_xml":"https://content.openalex.org/works/W4394994370.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"The":[0],"past":[1],"decade":[2],"has":[3],"seen":[4],"a":[5,45,127,237],"surge":[6],"in":[7,21,133,217,236,261,312,326,357],"the":[8,80,99,119,214,273,327,408],"generation":[9],"and":[10,14,24,41,77,91,104,124,135,163,170,177,188,195,220,267,275,282,297,321,344,355,366,372,379,399,402,406,410],"collection":[11],"of":[12,47,63,68,83,160,190,201,240,277,309,331,338],"spatial":[13,103,328],"temporal":[15,105,329],"data,":[16,348,359],"thanks":[17],"to":[18,44,109,115,140,168,184,192,208,368,376],"rapid":[19],"advancements":[20],"sensing,":[22],"computing,":[23],"communication":[25],"technologies.Interconnected":[26],"devices":[27],"with":[28,118],"embedded":[29],"sensors":[30],"are":[31,55,107],"incessantly":[32],"monitoring":[33],"urban":[34],"infrastructures,":[35],"environmental":[36,319],"phenomena,":[37],"public":[38],"health":[39],"indicators,":[40],"more,":[42],"leading":[43,210],"deluge":[46],"spatio-temporal":[48,86,226,253],"data.Extracting":[49],"actionable":[50],"insights":[51],"from":[52,224],"these":[53,202],"data":[54,87,122,227,330,353,363,370],"vital":[56],"for":[57,148,252,257,265,271,293,302,351,362,383,390],"numerous":[58],"applications,":[59],"including":[60,242,315,360],"predictive":[61],"maintenance":[62],"critical":[64],"systems,":[65],"early":[66],"detection":[67,112,180,249,260,279,300,311,382],"natural":[69],"disasters,":[70],"resource":[71],"optimization,":[72],"infectious":[73],"disease":[74],"outbreak":[75],"management,":[76],"security":[78],"surveillance.However,":[79],"effective":[81],"analysis":[82],"such":[84,394],"large-scale":[85],"poses":[88],"unique":[89],"computational":[90],"methodological":[92],"challenges.The":[93],"complex":[94],"correlation":[95],"structures":[96],"introduced":[97],"by":[98],"intricate":[100],"interdependencies":[101],"between":[102],"dimensions":[106],"difficult":[108],"model.Traditional":[110],"anomaly":[111,172,248,259,278,286,289,294,299,310,381,392],"techniques":[113,149,256,301,361],"struggle":[114],"keep":[116],"pace":[117],"exponentially":[120],"increasing":[121,146],"volumes,":[123],"scalability":[125],"becomes":[126],"significant":[128],"roadblock":[129],"as":[130,395],"datasets":[131],"grow":[132],"size":[134],"dimensionality,":[136],"limiting":[137],"their":[138,161],"applicability":[139],"real-world":[141],"problems.Moreover,":[142],"there":[143],"is":[144],"an":[145],"demand":[147],"that":[150,212,232],"not":[151,244],"only":[152],"detect":[153],"anomalies":[154,223,325,356],"but":[155,243],"also":[156],"provide":[157],"interpretable":[158],"explanations":[159],"causes":[162],"effects.This":[164],"allows":[165],"domain":[166],"experts":[167],"validate":[169],"understand":[171],"predictions,":[173],"make":[174],"informed":[175],"decisions,":[176],"iteratively":[178],"refine":[179],"models.Additionally,":[181],"models":[182],"need":[183],"be":[185],"statistically":[186],"reliable":[187,298],"capable":[189],"adapting":[191],"changing":[193],"environments":[194],"non-stationary":[196],"distributions":[197],"over":[198],"time.In":[199],"light":[200],"challenges,":[203],"this":[204],"special":[205],"issue":[206],"aims":[207],"gather":[209],"research":[211],"addresses":[213],"key":[215],"challenges":[216],"scalably,":[218],"reliably,":[219],"explainably":[221],"detecting":[222],"massive":[225],"sources.We":[228],"invite":[229],"original":[230],"contributions":[231],"apply":[233],"innovative":[234],"approaches":[235],"broad":[238],"range":[239],"topics,":[241],"limited":[245],"to:\u2022":[246],"Novel":[247],"algorithms":[250],"designed":[251],"data.\u2022":[254,263,307,386],"Scalable":[255],"real-time":[258],"streaming":[262],"Methods":[264,350],"visualizing":[266],"interpreting":[268],"anomalies.\u2022":[269],"Approaches":[270],"evaluating":[272],"interpretability":[274],"explainability":[276],"models.\u2022":[280],"Adaptive":[281],"concept":[283],"drift":[284],"handling":[285],"detection.\u2022":[287,290,295],"Human-in-the-loop":[288],"Continual":[291],"learning":[292],"Robust":[296],"noisy,":[303],"missing,":[304],"or":[305],"corrupted":[306],"Applications":[308],"various":[313],"domains,":[314],"smart":[316,334],"cities,":[317],"manufacturing,":[318],"monitoring,":[320],"transportation":[322],"systems.\u2022":[323],"Identifying":[324],"autonomous":[332],"vehicles,":[333],"devices,":[335],"industrial":[336],"Internet":[337],"Things":[339],"(IoT)":[340],"environments,":[341],"sensor":[342],"nodes":[343],"networks,":[345],"healthcare,":[346],"epidemiological":[347],"etc.\u2022":[349],"addressing":[352],"heterogeneity":[354],"spatial-temporal":[358,385,391],"integration,":[364],"cleaning,":[365],"preprocessing":[367],"ensure":[369],"quality":[371],"consistency.\u2022":[373],"Blockchain":[374],"technology":[375],"implement":[377],"secure":[378],"efficient":[380],"big":[384],"Open":[387],"AI":[388],"environment":[389],"detection,":[393],"leveraging":[396],"open-source":[397],"platforms":[398],"frameworks,":[400],"comparing":[401],"benchmarking":[403],"different":[404],"algorithms,":[405],"exploring":[407],"ethical":[409],"social":[411],"implications.":[412]},"counts_by_year":[],"updated_date":"2026-02-05T00:54:17.221276","created_date":"2024-04-23T00:00:00"}