{"id":"https://openalex.org/W2043593365","doi":"https://doi.org/10.1145/1384209.1384213","title":"A grid-based architecture for nearest neighbor based condensation of huge datasets","display_name":"A grid-based architecture for nearest neighbor based condensation of huge datasets","publication_year":2008,"publication_date":"2008-06-23","ids":{"openalex":"https://openalex.org/W2043593365","doi":"https://doi.org/10.1145/1384209.1384213","mag":"2043593365"},"language":"en","primary_location":{"id":"doi:10.1145/1384209.1384213","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1384209.1384213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third international workshop on Use of P2P, grid and agents for the development of content networks","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/A5075369704","display_name":"Fabrizio Angiulli","orcid":"https://orcid.org/0000-0002-9860-7569"},"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":true,"raw_author_name":"Fabrizio Angiulli","raw_affiliation_strings":["University of Calabria, Rende, Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013173651","display_name":"Gianluigi Folino","orcid":"https://orcid.org/0000-0002-8139-3445"},"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":"Gianluigi Folino","raw_affiliation_strings":["ICAR-CNR, Rende, Italy","ICAR-CNR, RENDE, Italy"],"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende, Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"ICAR-CNR, RENDE, Italy","institution_ids":["https://openalex.org/I3005160176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075369704"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":0.3666,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66517156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9977999925613403,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9908000230789185,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8654916286468506},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.8131445646286011},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7098626494407654},{"id":"https://openalex.org/keywords/grid-computing","display_name":"Grid computing","score":0.6319144368171692},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5522140264511108},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5418310165405273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5049958825111389},{"id":"https://openalex.org/keywords/semantic-grid","display_name":"Semantic grid","score":0.49843287467956543},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4923363924026489},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4737734794616699},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4555550515651703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31758105754852295},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09057390689849854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654916286468506},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.8131445646286011},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7098626494407654},{"id":"https://openalex.org/C70429105","wikidata":"https://www.wikidata.org/wiki/Q249999","display_name":"Grid computing","level":3,"score":0.6319144368171692},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5522140264511108},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5418310165405273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5049958825111389},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.49843287467956543},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4923363924026489},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4737734794616699},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4555550515651703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31758105754852295},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09057390689849854},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1384209.1384213","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1384209.1384213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third international workshop on Use of P2P, grid and agents for the development of content networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W100531594","https://openalex.org/W1489252188","https://openalex.org/W1526507883","https://openalex.org/W1983734765","https://openalex.org/W1994410331","https://openalex.org/W2026671420","https://openalex.org/W2055702686","https://openalex.org/W2058772015","https://openalex.org/W2059507684","https://openalex.org/W2077783617","https://openalex.org/W2083209848","https://openalex.org/W2091257550","https://openalex.org/W2098631313","https://openalex.org/W2122111042","https://openalex.org/W2123467116","https://openalex.org/W2141885858","https://openalex.org/W2168873314","https://openalex.org/W2170950938","https://openalex.org/W2487552258"],"related_works":["https://openalex.org/W2181389252","https://openalex.org/W169905258","https://openalex.org/W1503969631","https://openalex.org/W1824707887","https://openalex.org/W2147457882","https://openalex.org/W2978352833","https://openalex.org/W2114445820","https://openalex.org/W2169162452","https://openalex.org/W3101927910","https://openalex.org/W2116735528"],"abstract_inverted_index":{"Grid":[0],"computing":[1],"provides":[2],"services":[3],"to":[4,7,73,84,126],"the":[5,42,62,76,108,137],"users":[6],"discover,":[8],"transfer,":[9],"and":[10,83,95,97,115],"manipulate":[11],"large":[12,19,118],"datasets":[13,20,45],"distributed":[14,81],"in":[15,30,68,100,129,143],"different":[16,89],"locations.":[17],"Classifying":[18],"without":[21],"using":[22,61],"a":[23,27,53,130,144],"centralized":[24],"approach":[25],"is":[26,39,66,103,134],"key":[28],"problem":[29],"this":[31,50,69],"kind":[32],"of":[33,80,107],"architectures":[34],"and,":[35],"for":[36,41,56],"instance,":[37],"it":[38,133],"essential":[40],"ever":[43],"growing":[44],"bioinformatic":[46],"scientists":[47],"face.":[48],"To":[49],"aim,":[51],"Grid-FCNN,":[52],"grid-enabled":[54],"architecture":[55],"classifying":[57],"huge":[58],"data":[59],"set":[60],"nearest":[63],"neighbor":[64],"rule":[65],"presented":[67],"paper.":[70],"In":[71],"order":[72],"cope":[74],"with":[75],"communication":[77],"overhead":[78],"typical":[79],"environments":[82,102],"reduce":[85],"memory":[86],"requirements,":[87],"two":[88],"strategies":[90],"are":[91,124],"presented,":[92],"namely":[93],"Grid-FCNN1":[94],"Grid-FCNN2,":[96],"their":[98],"performances":[99],"grid":[101],"analyzed.":[104],"An":[105],"analysis":[106],"experimental":[109],"results,":[110],"performed":[111],"on":[112],"both":[113],"synthetic":[114],"real":[116,145],"very":[117],"datasets,":[119],"revealed":[120],"that":[121],"these":[122],"techniques":[123],"adapt":[125],"be":[127,141],"used":[128],"Grid.":[131],"Furthermore,":[132],"illustrated":[135],"how":[136],"Grid-based":[138],"algorithm":[139],"can":[140],"applicable":[142],"bioinformatics":[146],"scenario.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
