{"id":"https://openalex.org/W2160818941","doi":"https://doi.org/10.1109/access.2014.2315297","title":"Big Data and the SP Theory of Intelligence","display_name":"Big Data and the SP Theory of Intelligence","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2160818941","doi":"https://doi.org/10.1109/access.2014.2315297","mag":"2160818941"},"language":"en","primary_location":{"id":"doi:10.1109/access.2014.2315297","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2014.2315297","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06782396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06782396.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066874353","display_name":"J. Gerard Wolff","orcid":"https://orcid.org/0000-0002-4624-8904"},"institutions":[{"id":"https://openalex.org/I4210135492","display_name":"Cognition Therapeutics (United States)","ror":"https://ror.org/03z2xqc96","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135492"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Gerard Wolff","raw_affiliation_strings":["CognitionResearch.org, Menai Bridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CognitionResearch.org, Menai Bridge, U.K","institution_ids":["https://openalex.org/I4210135492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066874353"],"corresponding_institution_ids":["https://openalex.org/I4210135492"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.7263,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98261435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"301","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.972599983215332,"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"}},{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9381999969482422,"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":0.6690657138824463},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5001718997955322},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22667378187179565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690657138824463},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5001718997955322},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22667378187179565}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2014.2315297","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2014.2315297","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06782396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1306.3890","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1306.3890","pdf_url":"https://arxiv.org/pdf/1306.3890","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.766.7004","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.766.7004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1306.3890.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:7fdebc206e744a37a09658c0ffee6e14","is_oa":true,"landing_page_url":"https://doaj.org/article/7fdebc206e744a37a09658c0ffee6e14","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 2, Pp 301-315 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2014.2315297","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2014.2315297","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06782396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2160818941.pdf","grobid_xml":"https://content.openalex.org/works/W2160818941.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1979274956","https://openalex.org/W1985819569","https://openalex.org/W1993559666","https://openalex.org/W2013551149","https://openalex.org/W2014052997","https://openalex.org/W2107734579","https://openalex.org/W2111231590","https://openalex.org/W2131294823","https://openalex.org/W2135625884","https://openalex.org/W2155098304","https://openalex.org/W2162980030","https://openalex.org/W2165712698","https://openalex.org/W2582697902","https://openalex.org/W3021431777","https://openalex.org/W3101403173","https://openalex.org/W3105224725","https://openalex.org/W3105339277","https://openalex.org/W4212884277","https://openalex.org/W4239696231","https://openalex.org/W4248343126","https://openalex.org/W4294554515"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4390608645","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/W4255224757"],"abstract_inverted_index":{"This":[0],"paper":[1,35],"is":[2,144,161],"about":[3],"how":[4],"the":[5,14,23,43,58,70,79,91,104,122,130,139,142,167,175,196,208,220,233,250],"SP":[6,15,31,234],"theory":[7],"of":[8,27,45,62,65,72,96,108,114,124,132,141,147,156,169,177,198,210,222,232,257],"intelligence":[9],"and":[10,25,36,60,74,78,106,116,153,158,184,187,212,225,252],"its":[11],"realization":[12],"in":[13,33,47,82,90,98,100,103,111,134,138,166,174,179,200,207,214],"machine":[16,235],"may,":[17],"with":[18,203,249],"advantage,":[19],"be":[20,247],"applied":[21],"to":[22,41,68,121,128,205,219,243,253],"management":[24,209],"analysis":[26,123],"big":[28,48,135,150,172,201],"data.":[29,136,215],"The":[30,190],"system-introduced":[32],"this":[34],"fully":[37],"described":[38],"elsewhere-may":[39],"help":[40],"overcome":[42,129],"problem":[44,131,197],"variety":[46],"data;":[49],"it":[50],"has":[51,88],"potential":[52,162,204],"as":[53],"a":[54,193,238],"universal":[55],"framework":[56],"for":[57,76,163,171,181,185,240],"representation":[59],"processing":[61],"diverse":[63],"kinds":[64,113],"knowledge,":[66,77],"helping":[67,127],"reduce":[69],"diversity":[71],"formalisms":[73],"formats":[75],"different":[80],"ways":[81],"which":[83],"they":[84],"are":[85],"processed.":[86],"It":[87,118,216],"strengths":[89],"unsupervised":[92],"learning":[93],"or":[94],"discovery":[95],"structure":[97],"data,":[99,126,170,202],"pattern":[101],"recognition,":[102],"parsing":[105],"production":[107],"natural":[109],"language,":[110],"several":[112],"reasoning,":[115],"more.":[117],"lends":[119,217],"itself":[120,218],"streaming":[125],"velocity":[133],"Central":[137],"workings":[140],"system":[143,191,251],"lossless":[145],"compression":[146],"information:":[148],"making":[149],"data":[151],"smaller":[152,186],"reducing":[154],"problems":[155],"storage":[157],"management.":[159],"There":[160],"substantial":[164],"economies":[165],"transmission":[168],"cuts":[173],"use":[176],"energy":[178],"computing,":[180],"faster":[182],"processing,":[183],"lighter":[188],"computers.":[189],"provides":[192],"handle":[194],"on":[195],"veracity":[199],"assist":[206],"errors":[211],"uncertainties":[213],"visualization":[221],"knowledge":[223],"structures":[224],"inferential":[226],"processes.":[227],"A":[228],"high-parallel,":[229],"open-source":[230],"version":[231],"would":[236],"provide":[237],"means":[239],"researchers":[241],"everywhere":[242],"explore":[244],"what":[245],"can":[246],"done":[248],"create":[254],"new":[255],"versions":[256],"it.":[258]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}