{"id":"https://openalex.org/W1997424696","doi":"https://doi.org/10.1142/s0129054114500117","title":"DYNAMIC REDUCTS GENERATION USING CASCADING HASHES","display_name":"DYNAMIC REDUCTS GENERATION USING CASCADING HASHES","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W1997424696","doi":"https://doi.org/10.1142/s0129054114500117","mag":"1997424696"},"language":"en","primary_location":{"id":"doi:10.1142/s0129054114500117","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129054114500117","pdf_url":null,"source":{"id":"https://openalex.org/S68047077","display_name":"International Journal of Foundations of Computer Science","issn_l":"0129-0541","issn":["0129-0541","1793-6373"],"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 Foundations of Computer Science","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/A5032454671","display_name":"Pai-Chou Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I92582371","display_name":"Southern Taiwan University of Science and Technology","ror":"https://ror.org/0029n1t76","country_code":"TW","type":"education","lineage":["https://openalex.org/I92582371"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"PAI-CHOU WANG","raw_affiliation_strings":["Department of Information Management, Southern Taiwan University of Science and Technology, No. 1, Nantai St., Yung-Kang County, Tainan City, 710, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Southern Taiwan University of Science and Technology, No. 1, Nantai St., Yung-Kang County, Tainan City, 710, Taiwan","institution_ids":["https://openalex.org/I92582371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032454671"],"corresponding_institution_ids":["https://openalex.org/I92582371"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07094186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":"02","first_page":"219","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9922999739646912,"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":0.9916999936103821,"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/reduct","display_name":"Reduct","score":0.9814475774765015},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7157335877418518},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5567178130149841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5154531598091125},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4842388331890106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44784700870513916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4220937490463257},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.41733619570732117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3906061351299286}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.9814475774765015},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7157335877418518},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5567178130149841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5154531598091125},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4842388331890106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44784700870513916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4220937490463257},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.41733619570732117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3906061351299286},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0129054114500117","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129054114500117","pdf_url":null,"source":{"id":"https://openalex.org/S68047077","display_name":"International Journal of Foundations of Computer Science","issn_l":"0129-0541","issn":["0129-0541","1793-6373"],"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 Foundations of Computer Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W39222932","https://openalex.org/W1518002368","https://openalex.org/W1540977622","https://openalex.org/W1548813610","https://openalex.org/W1553701556","https://openalex.org/W1557923305","https://openalex.org/W1558780827","https://openalex.org/W1587987385","https://openalex.org/W1606422643","https://openalex.org/W1741610303","https://openalex.org/W1971790955","https://openalex.org/W2045260678","https://openalex.org/W2050699786","https://openalex.org/W2075340829","https://openalex.org/W2078376232","https://openalex.org/W2093938028","https://openalex.org/W2116509046","https://openalex.org/W2129368542","https://openalex.org/W2349417923","https://openalex.org/W2394819232","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W3013418296","https://openalex.org/W2354227702","https://openalex.org/W2369301332","https://openalex.org/W2381679723","https://openalex.org/W2145825375","https://openalex.org/W2356285081","https://openalex.org/W2109806455","https://openalex.org/W2820994417","https://openalex.org/W2125753160","https://openalex.org/W2076156242"],"abstract_inverted_index":{"Reducts":[0],"preserve":[1],"original":[2,27],"classification":[3],"properties":[4],"using":[5,152],"minimal":[6],"number":[7,87,92],"of":[8,23,26,53,88,93,95,99,108,110,168],"attributes":[9,89],"in":[10,20,73],"a":[11,63],"table.":[12,97],"Dynamic":[13],"reducts":[14,19,48,56,101,112,128,151],"are":[15,32,57,85,122,135,173],"the":[16,21,50,96,106,145,165,169],"most":[17],"stable":[18],"process":[22],"random":[24],"sampling":[25],"decision":[28],"table,":[29],"and":[30,67,83,90,105,133,179],"they":[31],"proposed":[33],"to":[34,45,124,137,161,177,181],"classify":[35],"unseen":[36],"cases.":[37],"Classical":[38],"reduct":[39,69],"generation":[40],"methods":[41],"can":[42,70],"be":[43,71],"applied":[44,123],"compute":[46,125],"dynamic":[47,55,68,100,111,150],"but":[49],"time":[51,77,115,147],"complexity":[52],"computing":[54],"rarely":[58],"discussed.":[59],"This":[60],"paper":[61],"proposes":[62],"cascading":[64,153],"hash":[65,154],"function,":[66],"derived":[72],"O(m":[74],"2":[75],"n)":[76],"with":[78,116],"O(mn)":[79,114,117],"space":[80],"where":[81],"m":[82],"n":[84],"total":[86,91],"instances":[94],"Core":[98],"is":[102,156],"also":[103,174],"discussed,":[104],"computation":[107],"core":[109],"takes":[113],"space.":[118],"Sixteen":[119],"UCI":[120],"datasets":[121],"(F,":[126],"\u03b5)-dynamic":[127],"for":[129],"\u03b5":[130],"=":[131],"1,":[132],"results":[134],"compared":[136],"Rough":[138],"Set":[139],"Exploration":[140],"System":[141],"(RSES).":[142],"Results":[143],"show":[144],"execution":[146],"on":[148],"generating":[149],"tables":[155],"faster":[157],"than":[158],"RSES":[159],"up":[160],"1700":[162],"times.":[163],"Besides":[164],"efficiency":[166],"issue":[167],"algorithms,":[170],"our":[171],"algorithms":[172],"very":[175],"easy":[176],"implement":[178],"applicable":[180],"any":[182],"system.":[183]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}