{"id":"https://openalex.org/W4312513034","doi":"https://doi.org/10.1109/csndsp54353.2022.9907909","title":"Prediphant: Short Term Heavy User Prediction","display_name":"Prediphant: Short Term Heavy User Prediction","publication_year":2022,"publication_date":"2022-07-20","ids":{"openalex":"https://openalex.org/W4312513034","doi":"https://doi.org/10.1109/csndsp54353.2022.9907909"},"language":"en","primary_location":{"id":"doi:10.1109/csndsp54353.2022.9907909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csndsp54353.2022.9907909","pdf_url":null,"source":{"id":"https://openalex.org/S4363605876","display_name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086677707","display_name":"Davide Sanvito","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Davide Sanvito","raw_affiliation_strings":["NEC Laboratories Europe,Heidelberg,Germany","NEC Laboratories Europe, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe,Heidelberg,Germany","institution_ids":[]},{"raw_affiliation_string":"NEC Laboratories Europe, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022168600","display_name":"Giuseppe Siracusano","orcid":"https://orcid.org/0000-0002-8960-4622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giuseppe Siracusano","raw_affiliation_strings":["NEC Laboratories Europe,Heidelberg,Germany","NEC Laboratories Europe, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe,Heidelberg,Germany","institution_ids":[]},{"raw_affiliation_string":"NEC Laboratories Europe, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019938636","display_name":"Roberto Gonzalez","orcid":null},"institutions":[{"id":"https://openalex.org/I904013037","display_name":"Universidad Europea de Madrid","ror":"https://ror.org/04dp46240","country_code":"ES","type":"education","lineage":["https://openalex.org/I904013037"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Gonzalez","raw_affiliation_strings":["NEC Laboratories Europe,Madrid,Spain","NEC Laboratories Europe, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe,Madrid,Spain","institution_ids":["https://openalex.org/I904013037"]},{"raw_affiliation_string":"NEC Laboratories Europe, Madrid, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049867893","display_name":"Roberto Bifulco","orcid":"https://orcid.org/0000-0002-9403-0336"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberto Bifulco","raw_affiliation_strings":["NEC Laboratories Europe,Heidelberg,Germany","NEC Laboratories Europe, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe,Heidelberg,Germany","institution_ids":[]},{"raw_affiliation_string":"NEC Laboratories Europe, Heidelberg, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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":0.9995999932289124,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8482597470283508},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6199018955230713},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5371916890144348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4679837226867676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4521619379520416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43135398626327515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23939934372901917},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.23364880681037903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8482597470283508},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6199018955230713},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5371916890144348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4679837226867676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4521619379520416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43135398626327515},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23939934372901917},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.23364880681037903},{"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:10.1109/csndsp54353.2022.9907909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csndsp54353.2022.9907909","pdf_url":null,"source":{"id":"https://openalex.org/S4363605876","display_name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W52135007","https://openalex.org/W1549382001","https://openalex.org/W1614298861","https://openalex.org/W2064675550","https://openalex.org/W2085849301","https://openalex.org/W2514159439","https://openalex.org/W2542765808","https://openalex.org/W2762605243","https://openalex.org/W2768671728","https://openalex.org/W2799789854","https://openalex.org/W2887051675","https://openalex.org/W2891316582","https://openalex.org/W2902753153","https://openalex.org/W2903500163","https://openalex.org/W2963035276","https://openalex.org/W2979918265","https://openalex.org/W2985753124","https://openalex.org/W3043957834","https://openalex.org/W3215120197","https://openalex.org/W6636510571","https://openalex.org/W6729088447","https://openalex.org/W6745659845"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Traffic":[0],"prediction":[1],"is":[2,133],"of":[3,10,47,59,92,117,139],"paramount":[4],"importance":[5],"for":[6],"the":[7,19,23,35,37,45,57,60,66,115,140],"correct":[8],"management":[9],"network":[11,24,68,75,147],"infrastructures.":[12],"Most":[13],"research":[14],"efforts":[15],"try":[16],"to":[17,65,110,135],"forecast":[18],"aggregated":[20],"traffic":[21],"over":[22,26,50],"and":[25,97],"large":[27],"time":[28,52],"windows.":[29,53],"In":[30],"this":[31],"work,":[32],"we":[33,43,55,84,124],"tackle":[34],"problem":[36],"other":[38],"way":[39],"around.":[40],"That":[41],"is,":[42],"predict":[44,111,136],"behaviour":[46],"individual":[48],"users":[49,64,141],"short":[51],"First,":[54],"investigate":[56],"contribution":[58],"most":[61,150],"data":[62,130],"eager":[63],"global":[67],"traffic.":[69],"We":[70],"do":[71],"it":[72,132],"by":[73,120],"analyzing":[74],"traces":[76],"coming":[77],"from":[78],"several":[79],"thousand":[80],"real":[81,129],"users.":[82],"Then,":[83],"design":[85],"a":[86,90],"technique,":[87],"based":[88],"on":[89],"combination":[91],"Natural":[93],"Language":[94],"Processing":[95],"(NLP)":[96],"Long":[98],"Short-Term":[99],"Memory":[100],"(LSTM)":[101],"machine":[102],"learning":[103],"models,":[104],"that":[105,142],"leverages":[106],"past":[107],"navigation":[108],"patterns":[109],"sudden":[112],"changes":[113],"in":[114,149],"amount":[116],"resources":[118],"consumed":[119],"each":[121],"user.":[122],"Finally,":[123],"evaluate":[125],"our":[126],"method":[127],"using":[128],"finding":[131],"able":[134],"about":[137],"80%":[138],"will":[143],"rump":[144],"up":[145],"their":[146],"needs":[148],"realistic":[151],"scenarios.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
