{"id":"https://openalex.org/W1973610435","doi":"https://doi.org/10.1145/1827418.1827436","title":"Complex event processing synergies with predictive analytics","display_name":"Complex event processing synergies with predictive analytics","publication_year":2010,"publication_date":"2010-07-12","ids":{"openalex":"https://openalex.org/W1973610435","doi":"https://doi.org/10.1145/1827418.1827436","mag":"1973610435"},"language":"en","primary_location":{"id":"doi:10.1145/1827418.1827436","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1827418.1827436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems","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/A5082486589","display_name":"Gabriella T\u00f3th","orcid":"https://orcid.org/0000-0001-9657-7231"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Gabriella T\u00f3th","raw_affiliation_strings":["University of Szeged, Hungary","University of Szeged, Hungary;"],"affiliations":[{"raw_affiliation_string":"University of Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]},{"raw_affiliation_string":"University of Szeged, Hungary;","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103583757","display_name":"Lajos Jen\u0151 F\u00fcl\u00f6p","orcid":null},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Lajos Jen\u0151 F\u00fcl\u00f6p","raw_affiliation_strings":["University of Szeged, Hungary","University of Szeged, Hungary;"],"affiliations":[{"raw_affiliation_string":"University of Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]},{"raw_affiliation_string":"University of Szeged, Hungary;","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008325103","display_name":"L\u00e1szl\u00f3 Vid\u00e1cs","orcid":"https://orcid.org/0000-0002-0319-3915"},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"L\u00e1szl\u00f3 Vid\u00e1cs","raw_affiliation_strings":["RGAI, Hungarian Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"RGAI, Hungarian Academy of Sciences","institution_ids":["https://openalex.org/I7597260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087453406","display_name":"\u00c1rp\u00e1d Besz\u00e9des","orcid":"https://orcid.org/0000-0002-5421-9302"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"\u00c1rp\u00e1d Besz\u00e9des","raw_affiliation_strings":["University of Szeged, Hungary","University of Szeged, Hungary;"],"affiliations":[{"raw_affiliation_string":"University of Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]},{"raw_affiliation_string":"University of Szeged, Hungary;","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081572833","display_name":"Hunor Demeter","orcid":null},"institutions":[{"id":"https://openalex.org/I63162264","display_name":"Nokia (Australia)","ror":"https://ror.org/05f2ewd15","country_code":"AU","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I63162264"]},{"id":"https://openalex.org/I105695857","display_name":"Siemens (Hungary)","ror":"https://ror.org/01rk7mv85","country_code":"HU","type":"company","lineage":["https://openalex.org/I105695857","https://openalex.org/I1325886976"]}],"countries":["AU","HU"],"is_corresponding":false,"raw_author_name":"Hunor Demeter","raw_affiliation_strings":["Nokia Siemens Networks, Hungary","Nokia Siemens Networks, Hungary#TAB#"],"affiliations":[{"raw_affiliation_string":"Nokia Siemens Networks, Hungary","institution_ids":["https://openalex.org/I105695857"]},{"raw_affiliation_string":"Nokia Siemens Networks, Hungary#TAB#","institution_ids":["https://openalex.org/I63162264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060679474","display_name":"L\u00f3r\u00e1nt Farkas","orcid":"https://orcid.org/0000-0003-4768-2515"},"institutions":[{"id":"https://openalex.org/I63162264","display_name":"Nokia (Australia)","ror":"https://ror.org/05f2ewd15","country_code":"AU","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I63162264"]},{"id":"https://openalex.org/I105695857","display_name":"Siemens (Hungary)","ror":"https://ror.org/01rk7mv85","country_code":"HU","type":"company","lineage":["https://openalex.org/I105695857","https://openalex.org/I1325886976"]}],"countries":["AU","HU"],"is_corresponding":false,"raw_author_name":"L\u00f3r\u00e1nt Farkas","raw_affiliation_strings":["Nokia Siemens Networks, Hungary","Nokia Siemens Networks, Hungary#TAB#"],"affiliations":[{"raw_affiliation_string":"Nokia Siemens Networks, Hungary","institution_ids":["https://openalex.org/I105695857"]},{"raw_affiliation_string":"Nokia Siemens Networks, Hungary#TAB#","institution_ids":["https://openalex.org/I63162264"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082486589"],"corresponding_institution_ids":["https://openalex.org/I227486990"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83488675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9948999881744385,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9948999881744385,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.989799976348877,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9797999858856201,"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":0.7036809325218201},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6056466698646545},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.5916405320167542},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.4835367202758789},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4783030152320862},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3608773946762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3225516378879547},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06707054376602173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036809325218201},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6056466698646545},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5916405320167542},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.4835367202758789},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4783030152320862},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3608773946762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3225516378879547},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06707054376602173},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1827418.1827436","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1827418.1827436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems","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":2,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2966207845"],"related_works":["https://openalex.org/W3138622659","https://openalex.org/W2375382787","https://openalex.org/W3196249020","https://openalex.org/W1129062671","https://openalex.org/W2319846418","https://openalex.org/W2911129637","https://openalex.org/W2089786149","https://openalex.org/W3201214583","https://openalex.org/W2297055390","https://openalex.org/W2187270050"],"abstract_inverted_index":{"For":[0],"Complex":[1],"Event":[2],"Processing":[3],"(CEP),":[4],"the":[5,22,64,68,82],"synergy":[6],"with":[7,60],"Predictive":[8],"Analytics":[9],"(PA)":[10],"is":[11,87],"a":[12,33,48,57,90],"promising":[13],"research":[14],"direction.":[15],"In":[16],"this":[17],"paper":[18],"we":[19,43],"focus":[20],"on":[21],"inclusion":[23],"of":[24,36,67,70],"PA":[25,31,53,78],"technologies":[26],"into":[27],"CEP":[28,50,58,76],"applications.":[29],"Involving":[30],"opens":[32],"wide":[34],"range":[35],"possibilities":[37],"in":[38,89],"several":[39],"application":[40],"fields.":[41],"However,":[42],"have":[44],"observed":[45],"that":[46],"only":[47],"few":[49],"solutions":[51],"apply":[52],"techniques.":[54],"We":[55],"extended":[56],"solution":[59],"predictive":[61],"capabilities,":[62],"defined":[63],"key":[65],"aspects":[66],"combination":[69],"these":[71],"techniques,":[72],"and":[73,77,93],"summarized":[74],"how":[75],"could":[79],"gain":[80],"from":[81],"joint":[83],"solution.":[84],"Our":[85],"approach":[86],"demonstrated":[88],"proof-of-concept":[91],"experiment":[92],"simulation":[94],"results":[95],"are":[96],"provided.":[97]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}