{"id":"https://openalex.org/W4386708485","doi":"https://doi.org/10.1142/s0218194023410036","title":"A Dynamic Drilling Sampling Method and Evaluation Model for Big Streaming Data","display_name":"A Dynamic Drilling Sampling Method and Evaluation Model for Big Streaming Data","publication_year":2023,"publication_date":"2023-09-13","ids":{"openalex":"https://openalex.org/W4386708485","doi":"https://doi.org/10.1142/s0218194023410036"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194023410036","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194023410036","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-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/A5100764320","display_name":"Zhaohui Zhang","orcid":"https://orcid.org/0000-0002-3171-7667"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaohui Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-3171-7667","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104168685","display_name":"Pei Zhang","orcid":"https://orcid.org/0009-0007-0912-3532"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364094","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-1806-4200"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112481589","display_name":"Fujuan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujuan Xu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018861408","display_name":"Chaochao Hu","orcid":"https://orcid.org/0000-0003-0203-782X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Hu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100614748","display_name":"Pengwei Wang","orcid":"https://orcid.org/0000-0002-5667-3488"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100764320"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.3173,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62970068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"33","issue":"11n12","first_page":"1725","last_page":"1748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9901000261306763,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9901000261306763,"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/T14280","display_name":"Big Data Technologies and Applications","score":0.960099995136261,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9560999870300293,"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/computer-science","display_name":"Computer science","score":0.7548304796218872},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6360815763473511},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6301949620246887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6170573234558105},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5215634703636169},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4527549743652344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4212711751461029},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41692671179771423},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.4102157950401306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36903369426727295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2618946433067322},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16700205206871033},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13996434211730957},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11961868405342102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1030556857585907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0921323299407959}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548304796218872},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6360815763473511},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6301949620246887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6170573234558105},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5215634703636169},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4527549743652344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4212711751461029},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41692671179771423},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.4102157950401306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36903369426727295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2618946433067322},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16700205206871033},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13996434211730957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11961868405342102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1030556857585907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0921323299407959},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218194023410036","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194023410036","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G1765517345","display_name":null,"funder_award_id":"22511100700","funder_id":"https://openalex.org/F4320336652","funder_display_name":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320336652","display_name":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W317957491","https://openalex.org/W1597870463","https://openalex.org/W1964082513","https://openalex.org/W2023695588","https://openalex.org/W2103175056","https://openalex.org/W2119885577","https://openalex.org/W2154002592","https://openalex.org/W2242576003","https://openalex.org/W2244033198","https://openalex.org/W2267164421","https://openalex.org/W2519166158","https://openalex.org/W2528761179","https://openalex.org/W2551427248","https://openalex.org/W2583344365","https://openalex.org/W2585193299","https://openalex.org/W2618536433","https://openalex.org/W2776854168","https://openalex.org/W2797697401","https://openalex.org/W2908860094","https://openalex.org/W2943045886","https://openalex.org/W3008292886","https://openalex.org/W3084177365","https://openalex.org/W3113399950","https://openalex.org/W3131475429","https://openalex.org/W3141939444"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W2999104021","https://openalex.org/W4293088233","https://openalex.org/W2850804095","https://openalex.org/W1481656249","https://openalex.org/W2162280767","https://openalex.org/W2774950576","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W2057598446"],"abstract_inverted_index":{"The":[0,45],"big":[1,249],"data":[2,10,61,65,74,132,233,250],"sampling":[3,47,80,95,208],"method":[4,48,96],"for":[5,82,131,200],"real-time":[6],"and":[7,17,26,35,109,114,119,142,164,197,202],"high-speed":[8],"streaming":[9,43,60,176,232],"is":[11,28,75,128,171],"prone":[12],"to":[13,31,173],"lose":[14],"the":[15,39,56,70,87,102,107,112,117,136,150,153,157,165,169,174,179,188,216,221,228,237],"value":[16,40,229],"information":[18,58],"of":[19,23,38,42,59,72,111,121,168,211,231,239],"a":[20,92],"large":[21],"amount":[22],"discrete":[24,64,73,83,122],"data,":[25,177],"it":[27,77],"not":[29,224],"easy":[30],"make":[32],"an":[33],"efficient":[34],"accurate":[36],"evaluation":[37,162],"characteristics":[41,230],"data.":[44,84,123],"SDSLA":[46,88,151,217],"based":[49],"on":[50,86],"mineral":[51],"drilling":[52,94],"exploration":[53],"can":[54,191],"evaluate":[55],"valuable":[57],"containing":[62],"many":[63],"in":[66,248],"real-time,":[67],"but":[68,234],"when":[69],"range":[71,120],"irregular,":[76],"has":[78,160,244],"low":[79],"accuracy":[81],"Based":[85],"algorithm,":[89,152],"we":[90],"propose":[91],"dynamic":[93],"SDDS,":[97],"which":[98,134,212,243],"takes":[99],"well":[100],"as":[101],"analysis":[103],"unit,":[104],"dynamically":[105],"changes":[106],"size":[108],"position":[110,118],"well,":[113],"accurately":[115,226],"locates":[116],"A":[124],"new":[125],"model":[126],"SDVEM":[127],"further":[129],"proposed":[130],"valuation,":[133],"evaluates":[135,227],"sample":[137,154,170],"set":[138],"from":[139],"discrete,":[140],"centralized,":[141],"overall":[143],"dimensions.":[144],"Experiments":[145],"show":[146],"that":[147],"compared":[148],"with":[149,178,206],"sampled":[155],"by":[156],"SDDS":[158,189,222],"algorithm":[159,190,223],"higher":[161,214],"accuracy,":[163,195],"probability":[166],"distribution":[167],"closer":[172],"original":[175],"AOCV":[180],"indicator":[181],"being":[182],"nearly":[183],"10%":[184],"higher.":[185],"In":[186,219],"addition,":[187],"achieve":[192],"over":[193],"90%":[194],"recall,":[196],"F1":[198],"score":[199],"training":[201,238],"testing":[203],"neural":[204,240],"networks":[205],"small":[207],"rates,":[209],"all":[210],"are":[213],"than":[215],"algorithm.":[218],"summary,":[220],"only":[225],"also":[235],"facilitates":[236],"network":[241],"models,":[242],"important":[245],"research":[246],"significance":[247],"estimation.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
