{"id":"https://openalex.org/W2931029021","doi":"https://doi.org/10.1109/bigcomp.2019.8679353","title":"P-Index: A Novel Index Based on Prime Factorization for Similarity Search","display_name":"P-Index: A Novel Index Based on Prime Factorization for Similarity Search","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2931029021","doi":"https://doi.org/10.1109/bigcomp.2019.8679353","mag":"2931029021"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621115","display_name":"Shoji Nishimura","orcid":"https://orcid.org/0000-0001-5975-2002"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Nishimura","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109538488","display_name":"Takuya Araki","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Araki","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation,Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/search-engine-indexing","display_name":"Search engine indexing","score":0.8958814144134521},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.7268226742744446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550318002700806},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5572331547737122},{"id":"https://openalex.org/keywords/prime","display_name":"Prime (order theory)","score":0.5351254940032959},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5217962265014648},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5101233124732971},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47911906242370605},{"id":"https://openalex.org/keywords/prime-factor","display_name":"Prime factor","score":0.4499564468860626},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43507251143455505},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43432119488716125},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4181441366672516},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3725159168243408},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3566136360168457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31009364128112793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2965344786643982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13529080152511597}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8958814144134521},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.7268226742744446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550318002700806},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5572331547737122},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.5351254940032959},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5217962265014648},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5101233124732971},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47911906242370605},{"id":"https://openalex.org/C30860621","wikidata":"https://www.wikidata.org/wiki/Q49008","display_name":"Prime factor","level":3,"score":0.4499564468860626},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43507251143455505},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43432119488716125},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4181441366672516},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3725159168243408},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3566136360168457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31009364128112793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2965344786643982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13529080152511597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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":37,"referenced_works":["https://openalex.org/W1499049447","https://openalex.org/W1541459201","https://openalex.org/W1568547784","https://openalex.org/W1969396192","https://openalex.org/W1979605853","https://openalex.org/W1990111898","https://openalex.org/W2008196645","https://openalex.org/W2044105912","https://openalex.org/W2052573076","https://openalex.org/W2072605585","https://openalex.org/W2077695545","https://openalex.org/W2080633243","https://openalex.org/W2095308899","https://openalex.org/W2097309979","https://openalex.org/W2111993661","https://openalex.org/W2117616929","https://openalex.org/W2118269922","https://openalex.org/W2122990007","https://openalex.org/W2129875280","https://openalex.org/W2131620262","https://openalex.org/W2145065594","https://openalex.org/W2147717514","https://openalex.org/W2148306163","https://openalex.org/W2151135734","https://openalex.org/W2155502235","https://openalex.org/W2159615405","https://openalex.org/W2294798173","https://openalex.org/W2321974580","https://openalex.org/W2612529667","https://openalex.org/W4242599275","https://openalex.org/W6629760146","https://openalex.org/W6632397832","https://openalex.org/W6634044144","https://openalex.org/W6678342440","https://openalex.org/W6679274366","https://openalex.org/W6682888194","https://openalex.org/W6683331770"],"related_works":["https://openalex.org/W1949910768","https://openalex.org/W1480566255","https://openalex.org/W2254397067","https://openalex.org/W4234717138","https://openalex.org/W4391098459","https://openalex.org/W2013685631","https://openalex.org/W4382241270","https://openalex.org/W4385693254","https://openalex.org/W4382242230","https://openalex.org/W1573605934"],"abstract_inverted_index":{"In":[0,81,196],"this":[1,27,155,197],"paper,":[2],"we":[3,158,259],"propose":[4,30],"a":[5,162,193,206,211,235],"novel":[6,163,194],"index":[7,28,50],"(P-Index)":[8],"for":[9,35,78,149,171,223,265],"multi-dimensional":[10,51,76],"similarity":[11,36,40,79,151,172,266],"search,":[12,41],"which":[13],"is":[14,88,112,209],"designed":[15],"based":[16],"on":[17,91],"the":[18,83,92,126,131,134,168,178,185,221,241,251],"reverse":[19,186],"computation":[20,187],"of":[21,85,106,136,180,188,238,243,294],"prime":[22,189],"factorization.":[23],"We":[24,174],"also":[25],"adopt":[26],"to":[29,49,70,166,191,249,291],"approximate":[31,252,261],"and":[32,56,74,133,262,276],"exact":[33,263],"algorithms":[34,264],"search.":[37,80,152,173],"For":[38,53],"enhancing":[39],"there":[42],"are":[43,47,60,278],"many":[44],"methods":[45,68,101,143],"that":[46,98,113,208,220,283],"proposed":[48,271],"data.":[52,128,257],"instance,":[54],"R-tree":[55],"space":[57,147,169,222],"filling":[58],"curves":[59],"two":[61,255],"well-known":[62],"existing":[63,66,141],"approaches.":[64],"Most":[65],"indexing":[67,72,86,93,100,107,116,142,164,181,225,239,244,272],"need":[69],"keep":[71],"keys":[73,117,226,245],"original":[75,127,256],"data":[77,137,201],"particular,":[82],"length":[84],"key":[87,182,207],"often":[89],"dependent":[90],"method.":[94,273],"It":[95],"results":[96],"in":[97,288],"different":[99,104],"will":[102,144],"generate":[103],"lengths":[105],"keys.":[108],"The":[109,274],"worse":[110],"result":[111],"storing":[114,224],"long":[115],"needs":[118],"more":[119],"spaces,":[120],"usually":[121],"several":[122],"times,":[123],"than":[124],"keeping":[125],"Thus,":[129],"when":[130],"dimensionality":[132],"size":[135],"set":[138],"increase":[139],"dramatically,":[140],"require":[145],"huge":[146],"complexity":[148],"executing":[150],"Motivated":[153],"by":[154,183,205,216,268,280],"critical":[156],"problem,":[157],"aim":[159],"at":[160],"proposing":[161],"method":[165],"reduce":[167],"required":[170],"take":[175],"into":[176],"account":[177],"design":[179,236,260],"employing":[184],"factorization":[190],"construct":[192],"index.":[195],"approach,":[198],"any":[199],"d-dimensional":[200],"can":[202,227,246],"be":[203,228,247],"indexed":[204],"only":[210],"floating":[212],"point":[213],"number":[214],"represented":[215],"double-type":[217],"value.":[218],"So":[219],"significantly":[229],"reduced.":[230],"Besides,":[231],"benefitting":[232],"from":[233],"such":[234],"scheme":[237],"key,":[240],"values":[242],"used":[248],"compute":[250],"distances":[253],"between":[254],"Finally,":[258],"search":[267],"applying":[269],"our":[270,284],"effectiveness":[275],"efficiency":[277],"evaluated":[279],"experiments,":[281],"showing":[282],"algorlthms":[285],"outperform":[286],"others":[287],"5":[289],"up":[290],"6":[292],"orders":[293],"magnitude.":[295]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
