{"id":"https://openalex.org/W2943378853","doi":"https://doi.org/10.1145/3297280.3297386","title":"How to implement a big data clustering algorithm","display_name":"How to implement a big data clustering algorithm","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2943378853","doi":"https://doi.org/10.1145/3297280.3297386","mag":"2943378853"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","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/A5011554149","display_name":"Michele Ianni","orcid":"https://orcid.org/0000-0003-0562-7462"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Ianni","raw_affiliation_strings":["University of Calabria, Rende (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calabria, Rende (CS), Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005904043","display_name":"Elio Masciari","orcid":"https://orcid.org/0000-0002-1778-5321"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elio Masciari","raw_affiliation_strings":["ICAR-CNR, Rende (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende (CS), Italy","institution_ids":["https://openalex.org/I3005160176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035469601","display_name":"Giuseppe M. Mazzeo","orcid":"https://orcid.org/0000-0002-4357-259X"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Giuseppe M. Mazzeo","raw_affiliation_strings":["Facebook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113467760","display_name":"Carlo Zaniolo","orcid":null},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlo Zaniolo","raw_affiliation_strings":["UCLA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA","institution_ids":["https://openalex.org/I2799798094"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"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":"1073","last_page":"1080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.875969409942627},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8269944190979004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8253375887870789},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.6739846467971802},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5999698042869568},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5333120226860046},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.506456732749939},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4973433315753937},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.492532342672348},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3352571129798889},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3248952329158783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2003609538078308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16818666458129883}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.875969409942627},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8269944190979004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253375887870789},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.6739846467971802},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5999698042869568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5333120226860046},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.506456732749939},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4973433315753937},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.492532342672348},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3352571129798889},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3248952329158783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2003609538078308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16818666458129883},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297280.3297386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1985059878","https://openalex.org/W2085487226","https://openalex.org/W2108399535","https://openalex.org/W2593620947"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W1570939702"],"abstract_inverted_index":{"The":[0],"current":[1],"era":[2],"of":[3,27,35,53,63,106],"Big":[4],"Data":[5],"[7]":[6],"has":[7,29],"forced":[8],"both":[9],"researchers":[10],"and":[11,46,71,76,137],"industries":[12],"to":[13,32,49,83,95,140],"rethink":[14],"the":[15,33,54,93,107],"computational":[16,86],"solutions":[17],"for":[18,38,69],"analyzing":[19,39],"massive":[20,61],"data.":[21],"In":[22],"fact,":[23],"a":[24,51,100,142],"great":[25],"deal":[26],"attention":[28],"been":[30],"devoted":[31],"design":[34],"new":[36],"algorithms":[37,124],"information":[40],"available":[41],"from":[42],"Twitter,":[43],"Google,":[44],"Facebook,":[45],"Wikipedia,":[47],"just":[48],"cite":[50,141],"few":[52],"main":[55],"big":[56,97],"data":[57,64,98,109],"producers.":[58],"Although":[59],"this":[60],"volume":[62],"can":[65],"be":[66,126],"quite":[67],"useful":[68],"people":[70],"companies,":[72],"it":[73],"makes":[74],"analytical":[75],"retrieval":[77],"operations":[78],"really":[79],"time":[80],"consuming":[81],"due":[82],"their":[84],"high":[85,121],"cost.":[87],"A":[88],"possible":[89],"solution":[90],"relies":[91],"upon":[92],"possibility":[94],"cluster":[96],"in":[99,128],"compact":[101],"but":[102],"still":[103],"informative":[104],"version":[105],"entire":[108],"set.":[110],"Obviously,":[111],"such":[112,132],"clustering":[113],"techniques":[114],"should":[115],"produce":[116],"clusters":[117],"(or":[118],"summaries)":[119],"having":[120],"accuracy.":[122],"Clustering":[123],"could":[125],"beneficial":[127],"several":[129],"application":[130],"scenarios":[131],"as":[133],"cybersecurity,":[134],"user":[135],"profiling":[136],"recommendation":[138],"systems,":[139],"few.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
