{"id":"https://openalex.org/W1732028283","doi":"https://doi.org/10.2495/data980301","title":"Data Mining: A Database Perspective.","display_name":"Data Mining: A Database Perspective.","publication_year":1970,"publication_date":"1970-01-01","ids":{"openalex":"https://openalex.org/W1732028283","doi":"https://doi.org/10.2495/data980301","mag":"1732028283"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.57.3478","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.3478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cos.ufrj.br/~marta/papers/intconfdm98.ps","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5108788512","display_name":"Mauro S\u00e9rgio R. de Sousa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mauro S\u00e9rgio R. de Sousa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039896734","display_name":"Marta Mattoso","orcid":"https://orcid.org/0000-0002-0870-3371","observed_orcids":["https://orcid.org/0000-0002-0870-3371"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marta Mattoso","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0870-3371","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021766596","display_name":"Nelson F. F. Ebecken","orcid":"https://orcid.org/0000-0003-4928-0966","observed_orcids":["https://orcid.org/0000-0003-4928-0966"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nelson F. F. Ebecken","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4928-0966","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"22","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.5946999788284302,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.5946999788284302,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.36649999022483826,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.005499999970197678,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/data-mining","display_name":"data mining","score":0.9750000238418579},{"id":"https://openalex.org/keywords/large-databases","display_name":"large databases","score":0.9369999766349792},{"id":"https://openalex.org/keywords/parallel-databases","display_name":"parallel database systems","score":0.843999981880188},{"id":"https://openalex.org/keywords/olap","display_name":"OLAP","score":0.5699999928474426},{"id":"https://openalex.org/keywords/disk-i-o","display_name":"disk I/O","score":0.8019999861717224},{"id":"https://openalex.org/keywords/computing-power","display_name":"computational power","score":0.6179999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8542447090148926},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.7536758184432983},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6003274917602539},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5765915513038635},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5362834930419922},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49014362692832947},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4756195843219757},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46147724986076355},{"id":"https://openalex.org/C40077939","wikidata":"https://www.wikidata.org/wiki/Q2336004","display_name":"Semi-structured data","level":3,"score":0.42145836353302},{"id":"https://openalex.org/C123593499","wikidata":"https://www.wikidata.org/wiki/Q6008583","display_name":"In-Memory Processing","level":5,"score":0.4142642021179199},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3740662932395935},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31970375776290894},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3063659369945526},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.08284196257591248},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.57.3478","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.3478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cos.ufrj.br/~marta/papers/intconfdm98.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.83.8188","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.8188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cos.ufrj.br/~marta/papers/intconfdm98.pdf","raw_type":"text"},{"id":"mag:1732028283","doi":"https://doi.org/10.2495/data980301","is_oa":false,"landing_page_url":"https://www.witpress.com/Secure/elibrary/papers/DATA98/DATA98030FU.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764380584","display_name":"WIT transactions on information and communication technologies","issn_l":"1743-3517","issn":["1743-3517","1746-4463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310311589","host_organization_name":"WIT Press","host_organization_lineage":["https://openalex.org/P4310311589"],"host_organization_lineage_names":["WIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"WIT transactions on information and communication technologies","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2158589469","https://openalex.org/W2014657544","https://openalex.org/W7095125044","https://openalex.org/W2590663369","https://openalex.org/W2489483741","https://openalex.org/W7100574833","https://openalex.org/W1584857661","https://openalex.org/W4206249421","https://openalex.org/W1551487324","https://openalex.org/W2601557581"],"abstract_inverted_index":{"Data":[0,92],"mining":[1,63,88,93],"on":[2],"large":[3],"databases":[4,113],"has":[5,129],"been":[6,97,130],"a":[7,33,52,78,82,133],"major":[8],"concern":[9],"in":[10,102,105],"research":[11],"community,":[12],"due":[13],"to":[14,61,115,149],"the":[15,125],"difficulty":[16],"of":[17,21,30,35,54,72,81,141,153],"analyzing":[18],"huge":[19],"volumes":[20],"data":[22,62,74,87,156],"using":[23],"only":[24,44],"traditional":[25],"OLAP":[26],"tools.":[27],"This":[28,146],"sort":[29],"process":[31],"implies":[32],"lot":[34],"computational":[36],"power,":[37],"memory":[38],"and":[39,86,119],"disk":[40],"I/O,":[41],"which":[42],"can":[43,58],"be":[45,59,116],"provided":[46],"by":[47],"parallel":[48,83],"computers.":[49],"We":[50],"present":[51],"discussion":[53],"how":[55],"database":[56,84],"technology":[57],"integrated":[60],"techniques.":[64,89],"Finally,":[65],"we":[66],"also":[67],"point":[68],"out":[69],"several":[70],"advantages":[71],"addressing":[73],"consuming":[75],"activities":[76],"through":[77],"tight":[79],"integration":[80],"server":[85],"1":[90],"Introduction":[91],"techniques":[94,121],"have":[95],"increasingly":[96],"studied":[98],"7;9;21":[99],",":[100],"especially":[101],"their":[103],"application":[104],"real-world":[106],"databases.":[107],"One":[108],"typical":[109],"problem":[110],"is":[111],"that":[112],"tend":[114],"very":[117],"large,":[118],"these":[120],"often":[122],"repeatedly":[123],"scan":[124],"entire":[126],"set.":[127],"Sampling":[128],"used":[131],"for":[132],"long":[134],"time,":[135],"but":[136],"subtle":[137],"differences":[138],"among":[139],"sets":[140],"objects":[142],"become":[143],"less":[144],"evident.":[145],"work":[147],"means":[148],"provide":[150],"an":[151],"overview":[152],"some":[154],"important":[155],"mining...":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}
