{"id":"https://openalex.org/W7220765415","doi":null,"title":"Performing a complexity and saturation analysis of machine learning algorithms on a data cluster","display_name":"Performing a complexity and saturation analysis of machine learning algorithms on a data cluster","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W7220765415"},"language":"tr","primary_location":{"id":"pmh:oai:acikerisim.trakya.edu.tr:20.500.14551/1830","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14551/1830","pdf_url":null,"source":{"id":"https://openalex.org/S4306401406","display_name":"Trakya University's Institutional Open Access System (Trakya University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I12387023","host_organization_name":"Trakya University","host_organization_lineage":["https://openalex.org/I12387023"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},"parent_works":[],"lineage":["https://openalex.org/W7220765415"],"child_works_count":0,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/20.500.14551/1830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108060507","display_name":"Tolga Demirhan","orcid":"https://orcid.org/0000-0001-9840-4457","observed_orcids":["https://orcid.org/0000-0001-9840-4457"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Demirhan, Tolga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5108060507"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8109999895095825,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8109999895095825,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.11110000312328339,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.018300000578165054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-complexity-analysis","display_name":"complexity analysis","score":0.6970000267028809},{"id":"https://openalex.org/keywords/saturation-analysis","display_name":"saturation analysis","score":0.9639999866485596},{"id":"https://openalex.org/keywords/machine-learning-classification","display_name":"machine learning classification","score":0.593999981880188},{"id":"https://openalex.org/keywords/educational-data","display_name":"educational data","score":0.621999979019165},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.5789999961853027},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.703000009059906},{"id":"https://openalex.org/keywords/voted-perceptron","display_name":"voted perceptron","score":0.9359999895095825},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.5350000262260437},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6230000257492065},{"id":"https://openalex.org/keywords/j48","display_name":"J48 decision tree","score":0.6919999718666077},{"id":"https://openalex.org/keywords/data-transformation","display_name":"data transformation","score":0.30300000309944153},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.38499999046325684},{"id":"https://openalex.org/keywords/linear-separability","display_name":"linear separability","score":0.5270000100135803},{"id":"https://openalex.org/keywords/sample-density","display_name":"sample density","score":0.36399999260902405},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.3869999945163727},{"id":"https://openalex.org/keywords/data-cleaning","display_name":"data cleaning","score":0.3050000071525574},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.5870000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043999791145325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5774000287055969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238000154495239},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4187000095844269},{"id":"https://openalex.org/C9930424","wikidata":"https://www.wikidata.org/wiki/Q7426587","display_name":"Saturation (graph theory)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.2644999921321869}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:acikerisim.trakya.edu.tr:20.500.14551/1830","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14551/1830","pdf_url":null,"source":{"id":"https://openalex.org/S4306401406","display_name":"Trakya University's Institutional Open Access System (Trakya University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I12387023","host_organization_name":"Trakya University","host_organization_lineage":["https://openalex.org/I12387023"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"}],"best_oa_location":{"id":"pmh:oai:acikerisim.trakya.edu.tr:20.500.14551/1830","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14551/1830","pdf_url":null,"source":{"id":"https://openalex.org/S4306401406","display_name":"Trakya University's Institutional Open Access System (Trakya University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I12387023","host_organization_name":"Trakya University","host_organization_lineage":["https://openalex.org/I12387023"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3125825691","https://openalex.org/W2531643732","https://openalex.org/W2766385631","https://openalex.org/W3129790564","https://openalex.org/W2774712545","https://openalex.org/W7223514973","https://openalex.org/W3021339999","https://openalex.org/W7062127134","https://openalex.org/W6928770449","https://openalex.org/W833351818"],"abstract_inverted_index":{"Bu":[0],"\u00e7al\u0131\u015fmada":[1],"makine":[2],"\u00f6\u011frenmesi":[3],"algoritmalar\u0131":[4,72,135],"kullan\u0131larak":[5],"e\u011fitim":[6,199],"alan\u0131nda":[7],"bir":[8,29,153],"veri":[9,30,37,48,73,84,92,103,141,181],"k\u00fcmesi":[10,31],"\u00fczerinde":[11,75],"doygunluk":[12,117],"ve":[13,21,45,78,91,110,132,191],"karma\u015f\u0131kl\u0131k":[14,164],"analizi":[15],"ger\u00e7ekle\u015ftirilmi\u015ftir.":[16],"Toplanan":[17],"veriler":[18,24],"aras\u0131nda":[19],"anlams\u0131z":[20],"eksik":[22],"bulunan":[23],"temizlenerek":[25],"570":[26],"\u00f6rne\u011fe":[27],"sahip":[28,53,83,102,140],"elde":[32,50,86],"edilmi\u015ftir.":[33,51],"Sontest":[34],"\u00f6zniteli\u011finde":[35],"yap\u0131lan":[36,197],"d\u00f6n\u00fc\u015ft\u00fcrme":[38],"i\u015flemi":[39],"ile":[40,196,201],"21":[41,77],"s\u0131n\u0131fl\u0131,":[42],"5":[43,79],"s\u0131n\u0131fl\u0131":[44,47,80,99,137],"2":[46,98,136],"k\u00fcmeleri":[49,74],"Weka'n\u0131n":[52],"oldu\u011fu":[54,90,95,148],"LWL,":[55],"J48,":[56],"JRIP,":[57],"Part,":[58],"LMT,":[59],"Bagg\u0131ng,":[60],"Random":[61],"Forest,":[62],"IBK,":[63,127],"MultiLayer":[64],"Perceptron,":[65,67,130],"Voted":[66,111,129,156],"SMO,":[68,128],"Na\u00efve":[69,108,133],"Bayes":[70,109,134],"s\u0131n\u0131fland\u0131rma":[71,177],"\u00e7al\u0131\u015ft\u0131r\u0131lm\u0131\u015ft\u0131r.":[76],"sontest":[81,100,138],"\u00f6zniteli\u011fine":[82,101,139],"k\u00fcmelerinden":[85],"edilen":[87],"ba\u015far\u0131n\u0131n":[88],"rastlant\u0131sal":[89],"k\u00fcmelerinin":[93,123],"dengesiz":[94],"sonucuna":[96],"ula\u015f\u0131lm\u0131\u015ft\u0131r.":[97],"k\u00fcmesinde":[104],"algoritmalar":[105],"\u00e7al\u0131\u015ft\u0131r\u0131lm\u0131\u015f":[106],"sadece":[107],"Perceptron":[112],"algoritmalar\u0131nda":[113],"verinin":[114,146],"\u00f6rnekleme":[115],"yo\u011funlu\u011funun":[116],"seviyesine":[118],"ula\u015ft\u0131\u011f\u0131":[119],"sonucu":[120],"\u00e7\u0131kar\u0131lm\u0131\u015ft\u0131r.":[121],"Veri":[122],"karma\u015f\u0131kl\u0131\u011f\u0131n\u0131":[124],"belirlemek":[125],"\u00fczere":[126],"J48":[131],"k\u00fcmesine":[142],"uygulanm\u0131\u015ft\u0131r.":[143],"Karma\u015f\u0131kl\u0131k":[144],"analizinde":[145],"lineer":[147,183],"durumlarda":[149],"ba\u015far\u0131l\u0131":[150],"sonu\u00e7lar":[151],"veren":[152],"algoritma":[154],"olan":[155],"perceptron":[157],"algoritmas\u0131":[158,190],"en":[159],"iyi":[160],"sonu\u00e7lar\u0131":[161],"vermi\u015ftir.":[162],"Yap\u0131lan":[163],"deneylerinde":[165],"farkl\u0131":[166],"\u00fcs":[167,173],"de\u011ferleri":[168],"i\u00e7in":[169],"algoritman\u0131n":[170],"lineerli\u011fi":[171],"de\u011fi\u015ftirilmi\u015f,":[172],"de\u011feri":[174],"artt\u0131k\u00e7a":[175],"do\u011fru":[176],"oran\u0131n\u0131n":[178],"d\u00fc\u015fmesi":[179],"kullan\u0131lan":[180],"k\u00fcmesinin":[182],"oldu\u011funu":[184],"g\u00f6stermi\u015ftir.":[185],"S\u0131n\u0131fland\u0131rma":[186],"g\u00fcc\u00fc":[187],"y\u00fcksek":[188],"IBK":[189],"destek":[192],"karar":[193],"makineleri":[194],"(SVM)":[195],"deneylerde":[198],"verisi":[200],"a\u015f\u0131r\u0131":[202],"uyum":[203],"(overfitting)":[204],"durumu":[205],"ortaya":[206],"\u00e7\u0131km\u0131\u015ft\u0131r.":[207]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2026-10-07T00:00:00"}
