{"id":"https://openalex.org/W2027526555","doi":"https://doi.org/10.1109/wcnc.2012.6214345","title":"Predicting the Number of Mobile Subscribers: An accurate forecasting system and its application","display_name":"Predicting the Number of Mobile Subscribers: An accurate forecasting system and its application","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2027526555","doi":"https://doi.org/10.1109/wcnc.2012.6214345","mag":"2027526555"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2012.6214345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2012.6214345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5000641603","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0001-9790-9883"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, USA","Department of Electrical Engineering, Columbia University, New York City, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York City, United States","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105877821","display_name":"Stefan Valentin","orcid":"https://orcid.org/0000-0003-4181-402X"},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]},{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Stefan Valentin","raw_affiliation_strings":["Bell Laboratories, Alcatel-Lucent, Stuttgart, Germany","[Bell Labs Alcatel-Lucent, Stuttgart, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Alcatel-Lucent, Stuttgart, Germany","institution_ids":["https://openalex.org/I1322087612"]},{"raw_affiliation_string":"[Bell Labs Alcatel-Lucent, Stuttgart, Germany]","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048438685","display_name":"M. Tangemann","orcid":null},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]},{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Michael Tangemann","raw_affiliation_strings":["Bell Laboratories, Alcatel-Lucent, Stuttgart, Germany","[Bell Labs Alcatel-Lucent, Stuttgart, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Alcatel-Lucent, Stuttgart, Germany","institution_ids":["https://openalex.org/I1322087612"]},{"raw_affiliation_string":"[Bell Labs Alcatel-Lucent, Stuttgart, Germany]","institution_ids":["https://openalex.org/I72090969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":"3134","last_page":"3139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lag","display_name":"Lag","score":0.679887056350708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678234338760376},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.43631404638290405},{"id":"https://openalex.org/keywords/mobile-telephony","display_name":"Mobile telephony","score":0.4298091232776642},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.42754048109054565},{"id":"https://openalex.org/keywords/economic-indicator","display_name":"Economic indicator","score":0.4178047180175781},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40684840083122253},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37911683320999146},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2555939853191376},{"id":"https://openalex.org/keywords/mobile-radio","display_name":"Mobile radio","score":0.2469935417175293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23910290002822876},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.116130530834198}],"concepts":[{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.679887056350708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678234338760376},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.43631404638290405},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.4298091232776642},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.42754048109054565},{"id":"https://openalex.org/C202353208","wikidata":"https://www.wikidata.org/wiki/Q1167393","display_name":"Economic indicator","level":2,"score":0.4178047180175781},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40684840083122253},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37911683320999146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2555939853191376},{"id":"https://openalex.org/C2781307350","wikidata":"https://www.wikidata.org/wiki/Q6887221","display_name":"Mobile radio","level":2,"score":0.2469935417175293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23910290002822876},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.116130530834198},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2012.6214345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2012.6214345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","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/W1514721516","https://openalex.org/W2093851615","https://openalex.org/W2168723696","https://openalex.org/W2296319761","https://openalex.org/W2489782956","https://openalex.org/W2970576388","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2167436245","https://openalex.org/W4240701259","https://openalex.org/W4255298156","https://openalex.org/W2038633710","https://openalex.org/W2021745753","https://openalex.org/W2989056116","https://openalex.org/W2897734105","https://openalex.org/W2085895321","https://openalex.org/W2083667132","https://openalex.org/W2362805728"],"abstract_inverted_index":{"Forecasting":[0],"economic":[1],"quantities":[2],"can":[3],"bring":[4],"high":[5],"benefits":[6],"to":[7,17,35],"business":[8],"planning":[9],"and":[10,16,47,55,84,93,117],"operation.":[11],"To":[12],"provide":[13],"accurate":[14,109],"forecasts":[15],"investigate":[18],"the":[19,22,36,43,74,86],"factors":[20,69,78],"behind":[21],"trends,":[23],"we":[24,49,59],"present":[25],"a":[26,90,120,123],"new":[27],"prediction":[28,62,75,97],"system":[29,104],"in":[30,42,73],"this":[31],"paper.":[32],"Applying":[33],"it":[34,95],"Number":[37],"of":[38],"Mobile":[39],"Subscribers":[40],"(NMS)":[41],"United":[44],"States,":[45],"China,":[46],"Germany,":[48],"observe":[50],"interesting":[51],"differences":[52],"between":[53,89],"saturated":[54],"emerging":[56],"markets.":[57],"Moreover,":[58],"find":[60],"that":[61],"accuracy":[63],"highly":[64],"increases":[65],"when":[66],"(i)":[67],"external":[68],"are":[70,82],"systematically":[71],"included":[72],"model,":[76],"while":[77],"with":[79],"ambiguous":[80],"effects":[81],"removed":[83],"(ii)":[85],"time":[87],"lag":[88],"factor's":[91],"change":[92],"using":[94],"for":[96],"is":[98,105],"optimized.":[99],"By":[100],"doing":[101],"both,":[102],"our":[103],"not":[106],"only":[107],"more":[108],"than":[110],"common":[111],"forecasting":[112],"methods":[113],"but":[114],"reveals":[115],"if":[116],"how":[118],"quickly":[119],"factor":[121],"affects":[122],"trend's":[124],"accuracy.":[125]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}