{"id":"https://openalex.org/W4388973257","doi":"https://doi.org/10.3389/fdata.2023.1282352","title":"Design of a data processing method for the farmland environmental monitoring based on improved Spark components","display_name":"Design of a data processing method for the farmland environmental monitoring based on improved Spark components","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388973257","doi":"https://doi.org/10.3389/fdata.2023.1282352","pmid":"https://pubmed.ncbi.nlm.nih.gov/38053722"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2023.1282352","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1282352","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1282352/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1282352/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092571552","display_name":"Ruipeng Tang","orcid":"https://orcid.org/0009-0003-0039-9728"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Ruipeng Tang","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032680537","display_name":"Narendra Kumar Aridas","orcid":"https://orcid.org/0000-0001-9999-8971"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Narendra Kumar Aridas","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065195068","display_name":"Mohamad Sofian Abu Talip","orcid":"https://orcid.org/0000-0003-1111-5770"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohamad Sofian Abu Talip","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092571552"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":0.8748,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80862653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"1282352","last_page":"1282352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.982200026512146,"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":0.982200026512146,"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/spark","display_name":"SPARK (programming language)","score":0.923914909362793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064883708953857},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5862283706665039},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5411874055862427},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.518205463886261},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.492499440908432},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4617043137550354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3954369127750397},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3654031753540039},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34347808361053467},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3043961524963379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13700592517852783},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08278417587280273}],"concepts":[{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.923914909362793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064883708953857},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5862283706665039},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5411874055862427},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.518205463886261},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.492499440908432},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4617043137550354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3954369127750397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3654031753540039},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34347808361053467},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3043961524963379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13700592517852783},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08278417587280273},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2023.1282352","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1282352","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1282352/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:38053722","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38053722","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10694358","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10694358","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10694358/pdf/fdata-06-1282352.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:3fa7c9556d0f45448996a10d6329a4d3","is_oa":true,"landing_page_url":"https://doaj.org/article/3fa7c9556d0f45448996a10d6329a4d3","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":"Frontiers in Big Data, Vol 6 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2023.1282352","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1282352","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1282352/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388973257.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2303810804","https://openalex.org/W2392099792","https://openalex.org/W2483531014","https://openalex.org/W2798882089","https://openalex.org/W2985905187","https://openalex.org/W2996451633","https://openalex.org/W2997316664","https://openalex.org/W3013103502","https://openalex.org/W3030659426","https://openalex.org/W3170796112","https://openalex.org/W3212413460","https://openalex.org/W4200420967","https://openalex.org/W4206536354","https://openalex.org/W4288471015","https://openalex.org/W6768935418","https://openalex.org/W6772050808","https://openalex.org/W6796854725"],"related_works":["https://openalex.org/W3214148052","https://openalex.org/W2151692181","https://openalex.org/W794462722","https://openalex.org/W2029625042","https://openalex.org/W4390608645","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"With":[0],"the":[1,35,45,55,59,69,82,92,99,106,118,129,134,138,148,152,168,174,180],"popularization":[2],"of":[3,58,71,91,117,137,162,182],"big":[4],"data":[5,8,19,72,94,110],"technology,":[6],"agricultural":[7],"processing":[9,20,111,153],"systems":[10],"have":[11],"become":[12],"more":[13],"intelligent.":[14],"In":[15],"this":[16],"study,":[17],"a":[18],"method":[21],"for":[22,48,87],"farmland":[23],"environmental":[24],"monitoring":[25],"based":[26],"on":[27,96],"improved":[28],"Spark":[29,46,60,79,119,144],"components":[30],"is":[31,102],"designed.":[32],"It":[33,131],"introduces":[34],"FAST-Join":[36],"(Join":[37],"critical":[38],"filtering":[39],"sampling":[40],"partition":[41],"optimization)":[42],"algorithm":[43,84,150,176],"in":[44,76],"component":[47,61],"equivalence":[49],"association":[50],"query":[51],"optimization":[52],"to":[53],"improve":[54,179],"operating":[56],"efficiency":[57,181],"and":[62,74,89,98,113,125,140,155,164,186],"cluster.":[63],"The":[64,108,143],"experimental":[65],"results":[66],"show":[67],"that":[68,173],"amount":[70],"written":[73],"read":[75],"Shuffle":[77],"by":[78,81,123,147,159],"optimized":[80,146],"FAST-join":[83,139,149,175],"only":[85],"accounts":[86],"0.958":[88],"1.384%":[90],"original":[93],"volume":[95],"average,":[97],"calculation":[100],"speed":[101],"202.11%":[103],"faster":[104],"than":[105],"original.":[107],"average":[109,161],"time":[112,154],"occupied":[114,156],"memory":[115,157],"size":[116,158],"cluster":[120,135,145,187],"are":[121],"reduced":[122,151],"128.22":[124],"76.75%":[126],"compared":[127,133,166],"with":[128,167],"originals.":[130],"also":[132],"performance":[136],"Equi-join":[141,169],"algorithms.":[142],"an":[160],"68.74":[163],"37.80%":[165],"algorithm,":[170],"which":[171],"shows":[172],"can":[177],"effectively":[178],"inter-data":[183],"table":[184],"querying":[185],"computing.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
