{"id":"https://openalex.org/W69420215","doi":null,"title":"Structure pattern analysis using term rewriting and clustering algorithm","display_name":"Structure pattern analysis using term rewriting and clustering algorithm","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W69420215","mag":"69420215"},"language":"en","primary_location":{"id":"mag:69420215","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1016&context=cs_diss","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5007378854","display_name":"Robert W. Harrison","orcid":"https://orcid.org/0000-0003-2449-1214","observed_orcids":["https://orcid.org/0000-0003-2449-1214"]},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert W. Harrison","raw_affiliation_strings":["Georgia State University,"],"raw_orcid":"https://orcid.org/0000-0003-2449-1214","affiliations":[{"raw_affiliation_string":"Georgia State University,","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109251722","display_name":"Xuezheng Fu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuezheng Fu","raw_affiliation_strings":["Georgia State University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00908361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.6723999977111816,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.6723999977111816,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.06030000001192093,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.05380000174045563,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/term-rewriting","display_name":"term rewriting","score":0.8769999742507935},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8659999966621399},{"id":"https://openalex.org/keywords/number-of-clusters-estimation","display_name":"optimal number of clusters","score":0.8019999861717224},{"id":"https://openalex.org/keywords/3d-protein-structure","display_name":"protein 3D structure","score":0.7059999704360962},{"id":"https://openalex.org/keywords/biological-data-mining","display_name":"biological data mining","score":0.5720000267028809}],"concepts":[{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.796485185623169},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7486802935600281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633857250213623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5824145078659058},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.531028151512146},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48025277256965637},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4643564224243164},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4228893220424652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3795793652534485},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36434346437454224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30091166496276855},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:69420215","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1016&context=cs_diss","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W101836494","https://openalex.org/W105203805","https://openalex.org/W962838231","https://openalex.org/W1491063910","https://openalex.org/W1507985183","https://openalex.org/W1543796220","https://openalex.org/W1568771894","https://openalex.org/W1576989508","https://openalex.org/W1583295953","https://openalex.org/W1584476217","https://openalex.org/W1971784203","https://openalex.org/W1980317569","https://openalex.org/W1981663184","https://openalex.org/W1990346290","https://openalex.org/W1992419399","https://openalex.org/W1993968482","https://openalex.org/W1995288974","https://openalex.org/W1999345637","https://openalex.org/W2001731844","https://openalex.org/W2002122004","https://openalex.org/W2003122343","https://openalex.org/W2003201962","https://openalex.org/W2008708467","https://openalex.org/W2030644393","https://openalex.org/W2039255128","https://openalex.org/W2041197407","https://openalex.org/W2050533674","https://openalex.org/W2057289558","https://openalex.org/W2066162606","https://openalex.org/W2073693914","https://openalex.org/W2074240228","https://openalex.org/W2074882547","https://openalex.org/W2076756368","https://openalex.org/W2095595785","https://openalex.org/W2097879961","https://openalex.org/W2102046276","https://openalex.org/W2103250001","https://openalex.org/W2106478835","https://openalex.org/W2108323654","https://openalex.org/W2116219421","https://openalex.org/W2117552736","https://openalex.org/W2127218421","https://openalex.org/W2130479394","https://openalex.org/W2133988913","https://openalex.org/W2134664665","https://openalex.org/W2141157874","https://openalex.org/W2142465702","https://openalex.org/W2145396593","https://openalex.org/W2146261447","https://openalex.org/W2153153865","https://openalex.org/W2153233077","https://openalex.org/W2161708849","https://openalex.org/W2161968806","https://openalex.org/W2166912610","https://openalex.org/W2172206224","https://openalex.org/W2319574239","https://openalex.org/W2489608292","https://openalex.org/W2491876478","https://openalex.org/W2514569044","https://openalex.org/W2585339290","https://openalex.org/W2613161123"],"related_works":["https://openalex.org/W4405669594","https://openalex.org/W1985058307","https://openalex.org/W1591282153","https://openalex.org/W2132104502","https://openalex.org/W2006385292","https://openalex.org/W102578448","https://openalex.org/W2139289325","https://openalex.org/W2373354191","https://openalex.org/W2949965166","https://openalex.org/W7098885267"],"abstract_inverted_index":{"Biological":[0],"data":[1,10,42],"is":[2,102,125,139],"accumulated":[3],"at":[4,45],"a":[5,99],"fast":[6],"pace.":[7],"However,":[8],"raw":[9],"are":[11],"generally":[12],"difficult":[13],"to":[14,73,104,127],"understand":[15],"and":[16,50,80,95,152,182,202],"not":[17],"useful":[18],"unless":[19],"we":[20,69],"unlock":[21],"the":[22,26,33,39,59,74,106,114,129,142,161,164,167,186],"information":[23],"hidden":[24],"in":[25,52,63,89,133,163,171],"data.":[27,40,134],"Knowledge/information":[28],"can":[29],"be":[30],"extracted":[31],"as":[32,56],"patterns":[34,51],"or":[35],"features":[36],"buried":[37],"within":[38],"Thus":[41],"mining,":[43,191],"aims":[44],"uncovering":[46],"underlying":[47],"rules,":[48],"relationships,":[49],"data,":[53,172],"has":[54],"emerged":[55],"one":[57],"of":[58,78,108,116,131,145,150,166,169,174,185],"most":[60],"exciting":[61],"fields":[62],"computational":[64],"science.":[65],"In":[66],"this":[67,90],"dissertation,":[68],"develop":[70],"efficient":[71],"approaches":[72],"structure":[75,148,176,179],"pattern":[76],"analysis":[77],"RNA":[79,109,151,175,178],"protein":[81,153,187],"three":[82,146,154],"dimensional":[83,147,155],"structures.":[84,156],"The":[85,157],"major":[86],"techniques":[87],"used":[88],"work":[91],"include":[92],"term":[93,117],"rewriting":[94],"clustering":[96,123,197],"algorithms.":[97],"Firstly,":[98],"new":[100,136],"approach":[101],"designed":[103],"study":[105],"interaction":[107],"secondary":[110],"structures":[111],"motifs":[112],"using":[113],"concept":[115],"rewriting.":[118],"Secondly,":[119],"an":[120],"improved":[121],"K-means":[122,196],"algorithm":[124],"proposed":[126],"estimate":[128],"number":[130,168],"clusters":[132,170],"A":[135],"distance":[137],"descriptor":[138],"introduced":[140],"for":[141],"appropriate":[143],"representation":[144],"segments":[149],"experimental":[158],"results":[159],"show":[160],"improvements":[162],"determination":[165],"evaluation":[173],"similarity,":[177],"database":[180],"search,":[181],"better":[183],"understanding":[184],"sequence-structure":[188],"correspondence.\r\nKeywords.":[189],"Data":[190],"Knowledge":[192],"discovery,":[193],"Term":[194],"rewriting,":[195],"algorithm,":[198],"Validation":[199],"measure,":[200],"Stability,":[201],"Bioinformatics.":[203]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}
