{"id":"https://openalex.org/W2045469593","doi":"https://doi.org/10.1109/tsp.2011.6043752","title":"Competitive signature extraction in event forecasting WSNs","display_name":"Competitive signature extraction in event forecasting WSNs","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2045469593","doi":"https://doi.org/10.1109/tsp.2011.6043752","mag":"2045469593"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.6043752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.6043752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 34th International Conference on Telecommunications and Signal Processing (TSP)","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/A5014334085","display_name":"Gergely Olios","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gergely Olios","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary","Budapest University of Technology and Economics, Magyar tudosokkrt. 2, H-1117 Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Budapest University of Technology and Economics, Magyar tudosokkrt. 2, H-1117 Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038357329","display_name":"Rolland Vida","orcid":"https://orcid.org/0000-0002-4129-264X"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Rolland Vida","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary","Budapest University of Technology and Economics, Magyar tudosokkrt. 2, H-1117 Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Budapest University of Technology and Economics, Magyar tudosokkrt. 2, H-1117 Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10855692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9970999956130981,"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":0.9919000267982483,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7737396955490112},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7231189012527466},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.656528115272522},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.602202296257019},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5364770293235779},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4694739580154419},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4645267426967621},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46353840827941895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42858463525772095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35238176584243774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07192161679267883},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07171863317489624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737396955490112},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7231189012527466},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.656528115272522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.602202296257019},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5364770293235779},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4694739580154419},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4645267426967621},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46353840827941895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42858463525772095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35238176584243774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07192161679267883},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07171863317489624},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2011.6043752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.6043752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 34th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2021883955","https://openalex.org/W2041670460","https://openalex.org/W2069454342","https://openalex.org/W2103202897","https://openalex.org/W2119823873","https://openalex.org/W2132157515","https://openalex.org/W6678057895"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W4308623176","https://openalex.org/W4230676417","https://openalex.org/W2019696434","https://openalex.org/W2358078963"],"abstract_inverted_index":{"Signature":[0],"extraction":[1,42],"constitutes":[2],"an":[3,22],"imperative":[4],"part":[5],"of":[6,72,132],"a":[7,39,96,103],"reliable":[8,51,104],"event":[9,23,32,52,85],"forecasting":[10,24],"system":[11],"in":[12,95,121],"distributed":[13,97],"environments":[14],"like":[15],"wireless":[16],"sensor":[17],"networks.":[18],"Recently":[19],"we":[20,37],"published":[21],"framework":[25],"which":[26,44],"heavily":[27],"relied":[28],"on":[29,64,115],"clear,":[30],"artifact-free":[31],"signatures.":[33],"In":[34],"this":[35],"paper":[36],"introduce":[38],"competitive":[40,118],"signature":[41,61],"scheme,":[43],"can":[45,56,67],"fulfill":[46],"the":[47,59,70,84,100,109,127],"criteria":[48],"needed":[49],"for":[50,102],"forecasting.":[53],"Our":[54],"scheme":[55],"continuously":[57,82],"keep":[58],"events":[60,90],"database":[62],"low":[63],"artifacts,":[65],"it":[66,78],"dynamically":[68],"estimate":[69],"number":[71],"sequences,":[73],"and":[74,134],"by":[75,92,130],"doing":[76],"so":[77],"is":[79,106,113],"able":[80],"to":[81],"extract":[83],"signatures":[86],"from":[87],"noisy,":[88],"overlapped":[89],"detected":[91],"different":[93],"sensors":[94],"environment,":[98],"where":[99],"information":[101],"forecast":[105],"scattered":[107],"among":[108],"measurements.":[110],"The":[111],"method":[112],"based":[114],"unsupervised":[116],"(Heb-bian)":[117],"learning":[119],"used":[120],"self-organizing":[122],"Kohonen":[123],"maps.":[124],"We":[125],"evaluate":[126],"proposed":[128],"solution":[129],"means":[131],"simulations":[133],"investigate":[135],"its":[136],"parameter":[137],"sensitivity":[138],"as":[139],"well.":[140]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
