{"id":"https://openalex.org/W2968568308","doi":"https://doi.org/10.1145/3341069.3342978","title":"Pretreatment of Cotton Processing Data Based on SPSS","display_name":"Pretreatment of Cotton Processing Data Based on SPSS","publication_year":2019,"publication_date":"2019-06-22","ids":{"openalex":"https://openalex.org/W2968568308","doi":"https://doi.org/10.1145/3341069.3342978","mag":"2968568308"},"language":"en","primary_location":{"id":"doi:10.1145/3341069.3342978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341069.3342978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","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/A5079197841","display_name":"Xue Han","orcid":"https://orcid.org/0009-0007-2041-5958"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Han","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607116","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-5831-637X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047733918","display_name":"Jia Qiao","orcid":"https://orcid.org/0000-0002-8470-9580"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Qiao","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079197841"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04449485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.8528000116348267,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.8528000116348267,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.7732999920845032,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.7278000116348267,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.7882771492004395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397767305374146},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.7080824375152588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6480029225349426},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.5837521553039551},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5783246755599976},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.5472956299781799},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5454602241516113},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5145291686058044},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5076485872268677},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4665655195713043},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43572893738746643},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41159144043922424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27306488156318665},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23661267757415771},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1402868926525116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11713656783103943}],"concepts":[{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.7882771492004395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397767305374146},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.7080824375152588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6480029225349426},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5837521553039551},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5783246755599976},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.5472956299781799},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5454602241516113},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5145291686058044},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5076485872268677},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4665655195713043},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43572893738746643},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41159144043922424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27306488156318665},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23661267757415771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1402868926525116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11713656783103943},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341069.3342978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341069.3342978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1977908705"],"related_works":["https://openalex.org/W3086422166","https://openalex.org/W3010890513","https://openalex.org/W2053247611","https://openalex.org/W2084395052","https://openalex.org/W3165117444","https://openalex.org/W3016972457","https://openalex.org/W2792375448","https://openalex.org/W3202554610","https://openalex.org/W2605106030","https://openalex.org/W2186437798"],"abstract_inverted_index":{"In":[0],"the":[1,27,34,42,46,51,56,59,64,69,93,98,102,115,126],"processing":[2],"of":[3,8,23,29,45,73,129],"cotton,":[4],"a":[5,20],"large":[6,21],"variety":[7],"data":[9,17,44,53,60,83,87,94,105,116,124,130],"is":[10,38,61,79,88,95,106],"generated,":[11],"and":[12,71,101],"researchers":[13],"can":[14],"use":[15],"this":[16],"to":[18,25,40,50,81,120],"conduct":[19],"number":[22],"studies":[24],"improve":[26],"quality":[28],"cotton":[30,57,104],"processing.":[31],"Before":[32],"mining":[33],"historical":[35],"data,":[36],"it":[37],"necessary":[39],"pre-process":[41],"dirty":[43],"actual":[47,52],"application.":[48],"According":[49],"provided":[54],"by":[55,63,90,108],"factory,":[58],"preprocessed":[62],"raw":[65],"data.":[66],"By":[67],"comparing":[68],"advantages":[70],"disadvantages":[72],"various":[74],"algorithms,":[75],"Regression":[76],"filling":[77],"method":[78],"used":[80],"process":[82],"missing":[84],"values.":[85],"The":[86],"standardized":[89],"Z-score":[91],"method,":[92],"processed":[96],"into":[97],"same":[99],"dimension,":[100],"seed":[103],"clustered":[107],"K-means":[109],"algorithm.":[110],"We":[111],"choose":[112],"SPSS":[113],"as":[114],"preprocessing":[117],"simulation":[118],"software":[119],"provide":[121],"effective":[122],"high-quality":[123],"for":[125],"next":[127],"step":[128],"mining.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}