{"id":"https://openalex.org/W3097877849","doi":"https://doi.org/10.23919/mipro48935.2020.9245421","title":"A Different Approach for Clique and Household Analysis in Synthetic Telecom Data Using Propositional Logic","display_name":"A Different Approach for Clique and Household Analysis in Synthetic Telecom Data Using Propositional Logic","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3097877849","doi":"https://doi.org/10.23919/mipro48935.2020.9245421","mag":"3097877849"},"language":"en","primary_location":{"id":"doi:10.23919/mipro48935.2020.9245421","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro48935.2020.9245421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://philpapers.org/archive/SKAADA.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063206976","display_name":"Sandro Skansi","orcid":"https://orcid.org/0000-0002-3851-1186"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sandro Skansi","raw_affiliation_strings":["Faculty of Croatian Studies, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Croatian Studies, Zagreb, Croatia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066721568","display_name":"Kristina \u0160ekrst","orcid":"https://orcid.org/0000-0002-0467-7313"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]},{"id":"https://openalex.org/I4396570636","display_name":"Faculty of Humanities and Social Sciences in Zagreb","ror":"https://ror.org/03wtvtx73","country_code":null,"type":"education","lineage":["https://openalex.org/I181343428","https://openalex.org/I4396570636"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Kristina Sekrst","raw_affiliation_strings":["Faculty of Humanities and Social Sciences, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Humanities and Social Sciences, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428","https://openalex.org/I4396570636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055135585","display_name":"Marko Kardum","orcid":"https://orcid.org/0000-0002-0797-6677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marko Kardum","raw_affiliation_strings":["Faculty of Croatian Studies, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Croatian Studies, Zagreb, Croatia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063206976"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5565,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76813941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1286","last_page":"1289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9815999865531921,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9750999808311462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dpll-algorithm","display_name":"DPLL algorithm","score":0.9154782295227051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558503746986389},{"id":"https://openalex.org/keywords/satisfiability","display_name":"Satisfiability","score":0.6679796576499939},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.6129510402679443},{"id":"https://openalex.org/keywords/boolean-satisfiability-problem","display_name":"Boolean satisfiability problem","score":0.5666722059249878},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.563346266746521},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4971146881580353},{"id":"https://openalex.org/keywords/conjunctive-normal-form","display_name":"Conjunctive normal form","score":0.49047109484672546},{"id":"https://openalex.org/keywords/propositional-calculus","display_name":"Propositional calculus","score":0.4860123097896576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4713767468929291},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4468207061290741},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4287911057472229},{"id":"https://openalex.org/keywords/propositional-formula","display_name":"Propositional formula","score":0.42435330152511597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38136985898017883},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3753443956375122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29348617792129517},{"id":"https://openalex.org/keywords/propositional-variable","display_name":"Propositional variable","score":0.25389063358306885},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21337813138961792},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.14462587237358093},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13982617855072021}],"concepts":[{"id":"https://openalex.org/C143936061","wikidata":"https://www.wikidata.org/wiki/Q2030088","display_name":"DPLL algorithm","level":4,"score":0.9154782295227051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558503746986389},{"id":"https://openalex.org/C168773769","wikidata":"https://www.wikidata.org/wiki/Q1350299","display_name":"Satisfiability","level":2,"score":0.6679796576499939},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.6129510402679443},{"id":"https://openalex.org/C6943359","wikidata":"https://www.wikidata.org/wiki/Q875276","display_name":"Boolean satisfiability problem","level":2,"score":0.5666722059249878},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.563346266746521},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4971146881580353},{"id":"https://openalex.org/C16221470","wikidata":"https://www.wikidata.org/wiki/Q846564","display_name":"Conjunctive normal form","level":2,"score":0.49047109484672546},{"id":"https://openalex.org/C69562738","wikidata":"https://www.wikidata.org/wiki/Q200694","display_name":"Propositional calculus","level":2,"score":0.4860123097896576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4713767468929291},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4468207061290741},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4287911057472229},{"id":"https://openalex.org/C74640108","wikidata":"https://www.wikidata.org/wiki/Q1372900","display_name":"Propositional formula","level":5,"score":0.42435330152511597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38136985898017883},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3753443956375122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29348617792129517},{"id":"https://openalex.org/C14523651","wikidata":"https://www.wikidata.org/wiki/Q3492863","display_name":"Propositional variable","level":4,"score":0.25389063358306885},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21337813138961792},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.14462587237358093},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13982617855072021},{"id":"https://openalex.org/C33203268","wikidata":"https://www.wikidata.org/wiki/Q5361594","display_name":"Intermediate logic","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C12707504","wikidata":"https://www.wikidata.org/wiki/Q52637","display_name":"Phase-locked loop","level":3,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/mipro48935.2020.9245421","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro48935.2020.9245421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"},{"id":"pmh:oai:philpapers.org/rec/SKAADA","is_oa":true,"landing_page_url":"https://philpapers.org/rec/SKAADA","pdf_url":"https://philpapers.org/archive/SKAADA.pdf","source":{"id":"https://openalex.org/S4306402131","display_name":"PhilPapers (PhilPapers Foundation)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:philarchive.org/rec/SKAADA","is_oa":false,"landing_page_url":"https://philarchive.org/rec/SKAADA","pdf_url":null,"source":{"id":"https://openalex.org/S4306402130","display_name":"PhilPapers (PhilPapers Foundation)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:philpapers.org/rec/SKAADA","is_oa":true,"landing_page_url":"https://philpapers.org/rec/SKAADA","pdf_url":"https://philpapers.org/archive/SKAADA.pdf","source":{"id":"https://openalex.org/S4306402131","display_name":"PhilPapers (PhilPapers Foundation)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6800000071525574,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097877849.pdf","grobid_xml":"https://content.openalex.org/works/W3097877849.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1484192075","https://openalex.org/W1891479826","https://openalex.org/W1994584977","https://openalex.org/W2036265926","https://openalex.org/W2048051309","https://openalex.org/W2057361103","https://openalex.org/W2062897452","https://openalex.org/W2071878684","https://openalex.org/W2077891435","https://openalex.org/W2105210717","https://openalex.org/W2115981327","https://openalex.org/W2118622620","https://openalex.org/W2142785340","https://openalex.org/W2506036380","https://openalex.org/W2993739982","https://openalex.org/W3123509436","https://openalex.org/W4206807714","https://openalex.org/W4229840182","https://openalex.org/W4288000195","https://openalex.org/W4289674357","https://openalex.org/W4300555446","https://openalex.org/W6669682090","https://openalex.org/W6753678272","https://openalex.org/W6771724424"],"related_works":["https://openalex.org/W2504339508","https://openalex.org/W1608279203","https://openalex.org/W3128448798","https://openalex.org/W2015099359","https://openalex.org/W2483481624","https://openalex.org/W1493084124","https://openalex.org/W1513176853","https://openalex.org/W2611918466","https://openalex.org/W2153390672","https://openalex.org/W4386297898"],"abstract_inverted_index":{"Summary":[0],"-":[1],"In":[2],"this":[3],"paper":[4,144],"we":[5,74,125],"propose":[6],"an":[7,101],"non-machine":[8],"learning":[9],"artificial":[10],"intelligence":[11],"(AI)":[12],"based":[13],"approach":[14,47,69,112],"for":[15,62,79,151],"telecom":[16,40,104,118],"data":[17,41,119,155],"analysis,":[18],"with":[19],"a":[20,36,67,85,95,136,161],"special":[21],"focus":[22],"on":[23,116],"clique":[24],"detection.":[25],"Clique":[26],"detection":[27],"can":[28,113,132],"be":[29,84,114,133],"used":[30,94],"to":[31,76,88,107,154],"identify":[32],"households,":[33],"which":[34],"is":[35,66],"major":[37],"challenge":[38],"in":[39,70,149],"analysis":[42],"and":[43,73,128,159],"predictive":[44],"analytics.":[45],"Our":[46],"does":[48],"not":[49],"use":[50],"any":[51,117],"form":[52],"of":[53,59],"machine":[54,89],"learning,":[55],"but":[56,110],"another":[57],"type":[58],"algorithm:":[60],"satisfiability":[61,98],"propositional":[63],"logic.":[64],"This":[65,143],"neglected":[68],"modern":[71],"AI,":[72],"aim":[75],"demonstrate":[77],"that":[78],"certain":[80],"tasks,":[81],"it":[82],"may":[83],"good":[86],"alternative":[87,139],"learning-based":[90],"approaches.":[91],"We":[92],"have":[93,126],"simple":[96],"DPLL":[97,130],"solver":[99,131],"over":[100],"artificially":[102],"generated":[103],"dataset":[105],"(due":[106],"GDPR":[108],"regulations),":[109],"our":[111],"implemented":[115],"by":[120,135],"following":[121],"the":[122,129,146],"SAT":[123],"encoding":[124],"developed,":[127],"substituted":[134],"more":[137,162],"advanced":[138],"such":[140],"as":[141],"CDCL.":[142],"extends":[145],"method":[147],"presented":[148],"[1]":[150],"banking":[152],"logs":[153],"containing":[156],"caller":[157],"information,":[158],"proposes":[160],"efficient":[163],"encoding.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}