{"id":"https://openalex.org/W2344069985","doi":"https://doi.org/10.5220/0005756903150322","title":"Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms","display_name":"Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2344069985","doi":"https://doi.org/10.5220/0005756903150322","mag":"2344069985"},"language":"en","primary_location":{"id":"doi:10.5220/0005756903150322","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005756903150322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Agents and Artificial Intelligence","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/A5036847074","display_name":"Marcin Pietro\u0144","orcid":"https://orcid.org/0000-0001-9357-9231"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marcin Pietron","raw_affiliation_strings":["AGH University of Science and Technology and ACK Cyfronet AGH, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology and ACK Cyfronet AGH, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045630744","display_name":"Maciej Wielgosz","orcid":"https://orcid.org/0000-0002-4401-2957"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Wielgosz","raw_affiliation_strings":["AGH University of Science and Technology and ACK Cyfronet AGH, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology and ACK Cyfronet AGH, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052669287","display_name":"Pawel Grzegorz Russek","orcid":"https://orcid.org/0000-0003-3858-4278"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Russek","raw_affiliation_strings":["AGH University of Science and Technology and ACK Cyfronet AGH, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology and ACK Cyfronet AGH, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048697784","display_name":"K. Wiatr","orcid":"https://orcid.org/0000-0001-5959-0277"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Kazimierz Wiatr","raw_affiliation_strings":["AGH University of Science and Technology and ACK Cyfronet AGH, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology and ACK Cyfronet AGH, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4416,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78186872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8833000063896179,"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/T10028","display_name":"Topic Modeling","score":0.8833000063896179,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.8723000288009644,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.7675999999046326,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7577528953552246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726394534111023},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.7008768320083618},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.6731748580932617},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6470432281494141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5779925584793091},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5628486275672913},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.512187659740448},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5020463466644287},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.48951542377471924},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4605177640914917},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4376225769519806},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4366593360900879},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4114944338798523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34657585620880127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3336334228515625},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.2261938452720642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1531772017478943}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7577528953552246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726394534111023},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.7008768320083618},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.6731748580932617},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6470432281494141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5779925584793091},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5628486275672913},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.512187659740448},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5020463466644287},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.48951542377471924},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4605177640914917},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4376225769519806},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4366593360900879},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4114944338798523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34657585620880127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3336334228515625},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2261938452720642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1531772017478943},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005756903150322","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005756903150322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2549551998","https://openalex.org/W3036265557","https://openalex.org/W2790862734","https://openalex.org/W2900987978","https://openalex.org/W2515532094","https://openalex.org/W2975262101","https://openalex.org/W345943785","https://openalex.org/W2141406155","https://openalex.org/W3015962327","https://openalex.org/W2611813480"],"abstract_inverted_index":{"The":[0],"presented":[1],"algorithms":[2,32,102],"employ":[3],"the":[4,41,58,69,73,101,109,120],"Vector":[5,20],"Space":[6],"Model":[7],"(VSM)":[8],"and":[9,50,89,103],"its":[10],"enhancements":[11],"such":[12],"as":[13],"TFIDF":[14],"(Term":[15],"Frequency":[16],"Inverse":[17],"Document":[18],"Frequency).":[19],"space":[21],"model":[22],"suffers":[23],"from":[24],"curse":[25],"of":[26,40,60,80,92,100,116,122],"dimensionality.":[27],"Therefore":[28],"various":[29],"dimensionality":[30],"reduction":[31],"are":[33],"utilized.":[34],"This":[35],"paper":[36],"deals":[37],"with":[38],"two":[39],"most":[42],"common":[43],"ones":[44],"i.e.":[45],"Latent":[46],"Semantic":[47],"Indexing":[48],"(LSI)":[49],"Random":[51],"Projection":[52],"(RP).":[53],"It":[54],"turns":[55],"out":[56],"that":[57,108],"size":[59],"a":[61,65,90],"document":[62],"corpus":[63],"has":[64],"substantial":[66],"impact":[67],"on":[68,78],"processing":[70],"time.":[71],"Thus":[72],"authors":[74],"introduce":[75],"GPU":[76],"based":[77],"acceleration":[79],"these":[81],"techniques.":[82],"A":[83],"dedicated":[84],"test":[85],"set-up":[86],"was":[87],"created":[88],"series":[91],"experiments":[93],"were":[94],"conducted":[95],"which":[96],"revealed":[97],"important":[98],"properties":[99],"their":[104],"accuracy.":[105],"They":[106],"show":[107],"random":[110],"projection":[111],"outperforms":[112],"LSI":[113],"in":[114],"terms":[115],"computing":[117],"speed":[118],"at":[119],"expanse":[121],"results":[123],"quality.":[124]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}