{"id":"https://openalex.org/W2889531595","doi":"https://doi.org/10.1145/3239283.3239322","title":"Study on big data framework for product design","display_name":"Study on big data framework for product design","publication_year":2018,"publication_date":"2018-07-20","ids":{"openalex":"https://openalex.org/W2889531595","doi":"https://doi.org/10.1145/3239283.3239322","mag":"2889531595"},"language":"en","primary_location":{"id":"doi:10.1145/3239283.3239322","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239283.3239322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Data Science and Information Technology","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/A5100452089","display_name":"Zhuang Liu","orcid":"https://orcid.org/0000-0001-6395-0212"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuang Liu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055833241","display_name":"Lin Gong","orcid":"https://orcid.org/0000-0002-9236-1078"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Gong","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100452089"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11271442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9801999926567078,"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"}},{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7945964336395264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6947550773620605},{"id":"https://openalex.org/keywords/product-design","display_name":"Product design","score":0.676716685295105},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.596714973449707},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5255911350250244},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49196574091911316},{"id":"https://openalex.org/keywords/design-technology","display_name":"Design technology","score":0.47422122955322266},{"id":"https://openalex.org/keywords/new-product-development","display_name":"New product development","score":0.473742812871933},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4680746793746948},{"id":"https://openalex.org/keywords/product-engineering","display_name":"Product engineering","score":0.4390884041786194},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41850799322128296},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.36836177110671997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35449308156967163},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3451063632965088},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1993444859981537},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.07916417717933655},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.07143712043762207}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7945964336395264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947550773620605},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.676716685295105},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.596714973449707},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5255911350250244},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49196574091911316},{"id":"https://openalex.org/C179737136","wikidata":"https://www.wikidata.org/wiki/Q5264382","display_name":"Design technology","level":2,"score":0.47422122955322266},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.473742812871933},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4680746793746948},{"id":"https://openalex.org/C121615247","wikidata":"https://www.wikidata.org/wiki/Q7247761","display_name":"Product engineering","level":4,"score":0.4390884041786194},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41850799322128296},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.36836177110671997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35449308156967163},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3451063632965088},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1993444859981537},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.07916417717933655},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07143712043762207},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3239283.3239322","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239283.3239322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Data Science and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1981420413","https://openalex.org/W2101468243","https://openalex.org/W2119565742","https://openalex.org/W2122465391","https://openalex.org/W2237411490","https://openalex.org/W2613686321","https://openalex.org/W2941828814","https://openalex.org/W4245233215"],"related_works":["https://openalex.org/W2198164489","https://openalex.org/W3144360982","https://openalex.org/W3088567601","https://openalex.org/W3160453869","https://openalex.org/W2161832433","https://openalex.org/W1875061627","https://openalex.org/W1969426912","https://openalex.org/W2055801372","https://openalex.org/W2111740100","https://openalex.org/W1968930765"],"abstract_inverted_index":{"With":[0],"the":[1,4,22,92,113,126,130],"arrival":[2],"of":[3,18,47,69,95,116],"intelligent":[5],"era,":[6],"Big":[7],"Data":[8],"will":[9],"play":[10],"an":[11],"increasingly":[12],"important":[13],"role":[14],"in":[15,50,129],"all":[16],"aspects":[17],"product":[19,23,30,87,117,121,131,143],"design.":[20,88,144],"In":[21],"design":[24,70,119,123,127,132],"stage,":[25],"comprehensive":[26],"evaluations":[27],"such":[28],"as":[29],"quality":[31,118],"assessment":[32],"and":[33,43,53,66,99,108,120],"social":[34],"demand":[35,122],"exploration":[36],"are":[37,102],"directly":[38],"associated":[39],"with":[40,105],"various":[41],"data":[42,49,51,81,97,114,135],"information.":[44],"The":[45,89],"advantages":[46],"big":[48,80,96],"mining":[52,125,136],"model":[54],"prediction":[55],"can":[56],"be":[57],"used":[58],"to":[59],"provide":[60],"new":[61,140],"ideas":[62,141],"for":[63,86,142],"process":[64,133],"optimization":[65],"problem":[67],"improvement":[68],"innovation.":[71],"Based":[72],"on":[73,84],"this":[74,76],"situation,":[75],"paper":[77,111],"proposes":[78],"a":[79],"framework":[82,90],"based":[83],"Hadoop":[85],"contains":[91],"complete":[93],"flow":[94],"analysis,":[98],"these":[100],"processes":[101],"efficiently":[103],"connected":[104],"good":[106],"efficiency":[107],"practicality.":[109],"This":[110],"selects":[112],"sets":[115],"respectively,":[124],"factors":[128],"through":[134],"technology,":[137],"thus":[138],"providing":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
