{"id":"https://openalex.org/W2083729715","doi":"https://doi.org/10.1145/1593105.1593174","title":"FuzzyShrinking","display_name":"FuzzyShrinking","publication_year":2008,"publication_date":"2008-03-28","ids":{"openalex":"https://openalex.org/W2083729715","doi":"https://doi.org/10.1145/1593105.1593174","mag":"2083729715"},"language":"en","primary_location":{"id":"doi:10.1145/1593105.1593174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1593105.1593174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th Annual Southeast Regional Conference on XX","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=2588&context=facpubs","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Kennesaw State University, Kennesaw, GA","Kennesaw State University, Kennesaw, Ga"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Kennesaw, GA","institution_ids":["https://openalex.org/I172980758"]},{"raw_affiliation_string":"Kennesaw State University, Kennesaw, Ga","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113542097"],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12616696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9925000071525574,"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":0.9925000071525574,"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":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7186603546142578},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6154118180274963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4974711239337921},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48151907324790955},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.471189022064209},{"id":"https://openalex.org/keywords/resizing","display_name":"Resizing","score":0.4702685475349426},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4690079391002655},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.45999205112457275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3354607820510864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3030318021774292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186603546142578},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6154118180274963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4974711239337921},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48151907324790955},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.471189022064209},{"id":"https://openalex.org/C56281022","wikidata":"https://www.wikidata.org/wiki/Q11308039","display_name":"Resizing","level":3,"score":0.4702685475349426},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4690079391002655},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.45999205112457275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3354607820510864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3030318021774292},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C2910001868","wikidata":"https://www.wikidata.org/wiki/Q458","display_name":"European union","level":2,"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/C105639569","wikidata":"https://www.wikidata.org/wiki/Q582577","display_name":"Economic policy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1593105.1593174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1593105.1593174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th Annual Southeast Regional Conference on XX","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.kennesaw.edu:facpubs-2588","is_oa":true,"landing_page_url":"https://digitalcommons.kennesaw.edu/facpubs/1594","pdf_url":"https://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=2588&context=facpubs","source":{"id":"https://openalex.org/S4377196456","display_name":"DigitalCommons - Kennesaw State University (Kennesaw State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172980758","host_organization_name":"Kennesaw State University","host_organization_lineage":["https://openalex.org/I172980758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Articles","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.kennesaw.edu:facpubs-2588","is_oa":true,"landing_page_url":"https://digitalcommons.kennesaw.edu/facpubs/1594","pdf_url":"https://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=2588&context=facpubs","source":{"id":"https://openalex.org/S4377196456","display_name":"DigitalCommons - Kennesaw State University (Kennesaw State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172980758","host_organization_name":"Kennesaw State University","host_organization_lineage":["https://openalex.org/I172980758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Articles","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2083729715.pdf","grobid_xml":"https://content.openalex.org/works/W2083729715.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1566114229","https://openalex.org/W1575476631","https://openalex.org/W1633659671","https://openalex.org/W1660133578","https://openalex.org/W1673310716","https://openalex.org/W1977496278","https://openalex.org/W1992419399","https://openalex.org/W2011402264","https://openalex.org/W2057712948","https://openalex.org/W2092342745","https://openalex.org/W2095897464","https://openalex.org/W2108597780","https://openalex.org/W2113076747","https://openalex.org/W2127218421","https://openalex.org/W2131687179","https://openalex.org/W2140190241","https://openalex.org/W2160642098","https://openalex.org/W2252034896","https://openalex.org/W2299467264","https://openalex.org/W2912565176","https://openalex.org/W2999729612","https://openalex.org/W4211007335","https://openalex.org/W4247105055"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"In":[0,53,87],"this":[1,54,88],"paper,":[2,89],"we":[3,90],"present":[4],"continuous":[5],"research":[6],"on":[7,11,15,78],"data":[8,23,32,50,56,72,113,128],"analysis":[9,129],"based":[10],"our":[12],"previous":[13],"work":[14],"the":[16,28,35,41,60,63,68,92,97,100,104,109,124],"shrinking":[17,101],"approach.":[18],"Shrinking[19]":[19],"is":[20,76],"a":[21,79],"novel":[22],"preprocessing":[24],"technique":[25],"which":[26],"optimizes":[27],"inner":[29,69],"structure":[30,70],"of":[31,39,62,71,81,99,126],"inspired":[33],"by":[34],"Newton's":[36],"Universal":[37],"Law":[38],"Gravitation[16]in":[40],"real":[42],"world.":[43],"It":[44,75],"can":[45,120],"be":[46],"applied":[47,91],"in":[48,115],"many":[49],"mining":[51],"fields.":[52],"approach":[55,119],"are":[57],"moved":[58],"along":[59],"direction":[61],"density":[64],"gradient,":[65],"thus":[66],"making":[67,107],"more":[73],"prominent.":[74],"conducted":[77],"sequence":[80],"grids":[82],"with":[83],"different":[84],"cell":[85],"sizes.":[86],"Fuzzy":[93],"concept":[94],"to":[95,122],"improve":[96,123],"performance":[98,125],"approach,":[102],"targeting":[103],"better":[105],"decision":[106],"for":[108,111],"movement":[110],"individual":[112],"points":[114],"each":[116],"iteration.":[117],"This":[118],"assist":[121],"existing":[127],"approaches.":[130]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2016-06-24T00:00:00"}