{"id":"https://openalex.org/W2962754039","doi":"https://doi.org/10.1109/wf-iot.2019.8767190","title":"IoT for Water Management: Towards Intelligent Anomaly Detection","display_name":"IoT for Water Management: Towards Intelligent Anomaly Detection","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2962754039","doi":"https://doi.org/10.1109/wf-iot.2019.8767190","mag":"2962754039"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot.2019.8767190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-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/A5000027012","display_name":"Aurora Gonz\u00e1lez-Vidal","orcid":"https://orcid.org/0000-0002-4398-0243"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Aurora Gonzalez-Vidal","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Murcia Murcia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Murcia Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063749535","display_name":"Jes\u00fas Cuenca-Jara","orcid":null},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Cuenca-Jara","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Murcia Murcia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Murcia Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054299062","display_name":"Antonio Sk\u00e1rmeta","orcid":"https://orcid.org/0000-0002-5525-1259"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio F. Skarmeta","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Murcia Murcia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Murcia Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000027012"],"corresponding_institution_ids":["https://openalex.org/I80180929"],"apc_list":null,"apc_paid":null,"fwci":3.0804,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.93375803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"858","last_page":"863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.995199978351593,"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"}},{"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/anomaly-detection","display_name":"Anomaly detection","score":0.9279547929763794},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7991568446159363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102080583572388},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6500102281570435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5902414321899414},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5722197890281677},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5699330568313599},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5265766978263855},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5104402899742126},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43169695138931274},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4256124794483185},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4248500466346741},{"id":"https://openalex.org/keywords/water-consumption","display_name":"Water consumption","score":0.41506996750831604},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32637375593185425},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2936770021915436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2686402201652527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26682382822036743},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.1364632546901703},{"id":"https://openalex.org/keywords/water-resource-management","display_name":"Water resource management","score":0.10824596881866455}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.9279547929763794},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7991568446159363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102080583572388},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6500102281570435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5902414321899414},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5722197890281677},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5699330568313599},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5265766978263855},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5104402899742126},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43169695138931274},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4256124794483185},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4248500466346741},{"id":"https://openalex.org/C2982944804","wikidata":"https://www.wikidata.org/wiki/Q26534","display_name":"Water consumption","level":2,"score":0.41506996750831604},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32637375593185425},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2936770021915436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2686402201652527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26682382822036743},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.1364632546901703},{"id":"https://openalex.org/C524765639","wikidata":"https://www.wikidata.org/wiki/Q1501619","display_name":"Water resource management","level":1,"score":0.10824596881866455},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot.2019.8767190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1532858058","https://openalex.org/W1988861237","https://openalex.org/W2105510466","https://openalex.org/W2166547175","https://openalex.org/W2513641134","https://openalex.org/W2526189370","https://openalex.org/W2587001484","https://openalex.org/W2755148105","https://openalex.org/W2783976949","https://openalex.org/W2791402254","https://openalex.org/W2792033035","https://openalex.org/W2886897880","https://openalex.org/W4250638111","https://openalex.org/W4399647734","https://openalex.org/W6754157402"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259"],"abstract_inverted_index":{"Given":[0],"that":[1,27,51],"the":[2,9,20,35,39,56,78,180,191,195],"global":[3],"water":[4,21,48,64,83,120],"system":[5,23],"is":[6,60,103,184],"deteriorating":[7],"and":[8,11,32,85,150,165],"supply":[10],"demand":[12],"are":[13,24,173],"very":[14,125,175],"dynamic,":[15],"smart":[16,43,72],"ways":[17],"to":[18,33,38,42,76,80,113],"improve":[19],"management":[22],"needed":[25],"so":[26],"it":[28],"becomes":[29],"more":[30],"efficient":[31],"extend":[34],"services":[36],"provided":[37],"citizens":[40],"leading":[41],"cities.":[44],"One":[45],"of":[46,58,68,159],"many":[47],"related":[49],"problems":[50],"can":[52,92],"be":[53,93],"addressed":[54],"by":[55,71],"Internet":[57],"Things":[59],"anomaly":[61,101,131,136],"detection":[62,102,137],"in":[63,108,161,177,189],"consumption.":[65,121],"The":[66,186],"analysis":[67,183],"data":[69,91,160],"collected":[70],"meters":[73],"will":[74],"help":[75],"personalize":[77],"feedback":[79],"customers,":[81],"prevent":[82],"waste":[84],"detect":[86],"alarming":[87],"situations.":[88],"Water":[89],"consumption":[90],"considered":[94],"as":[95,141],"a":[96,152,162,170],"time":[97,129],"series.":[98],"Time":[99],"series":[100,130],"an":[104,133,147],"old":[105],"topic":[106],"but":[107,179],"this":[109],"work":[110],"we":[111],"attempt":[112],"examine":[114,123],"which":[115,139,156],"techniques":[116],"suits":[117],"better":[118],"for":[119,128],"We":[122],"two":[124],"well-known":[126],"methods":[127],"detection:":[132],"ARIMA-based":[134],"framework":[135],"technique":[138,153],"selects":[140],"outliers":[142],"those":[143],"points":[144],"no":[145],"fitting":[146],"ARIMA":[148],"process":[149],"also":[151],"named":[154],"HOT-SAX":[155],"represents":[157],"windows":[158],"discrete":[163],"way":[164],"then":[166],"discriminates":[167],"them":[168],"using":[169],"heuristic.":[171],"They":[172],"both":[174],"different":[176],"nature":[178],"true":[181],"positive":[182,193],"excellent.":[185],"challenge":[187],"remains":[188],"removing":[190],"false":[192],"from":[194],"picture.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
