Matches in SemOpenAlex for { <https://semopenalex.org/work/W2906259375> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2906259375 endingPage "44" @default.
- W2906259375 startingPage "34" @default.
- W2906259375 abstract "Data mining is a relevant term that simplifies the exploration and analysis of the huge amount of data with the aim of looking for hidden and valuable information from it. The area of interest among researchers in involving Data mining approaches to handle healthcare datasets have increased recently. In this context, we tried to categorize patients; who can be affected by breast cancer, diabetes or hypothyroidism; according to the stage of each disease. In fact, several classification algorithms; including SimpleLogistic, Instance-based k-nearest Neighbors (IBK), Naive Bayes, Stochastic Gradient Descent (SGD), Logistic model tree (LMT) and Sequential Minimal Optimization (SMO), are compared in terms of powerful performance measures. Therefore, after using the well-known data mining and knowledge discovery tool; Weka, we managed to pick the classification technique; LMT, which proved its high accuracy and scalability when dealing with healthcare datasets having different characteristics." @default.
- W2906259375 created "2019-01-01" @default.
- W2906259375 creator A5002158755 @default.
- W2906259375 creator A5028356071 @default.
- W2906259375 creator A5079808382 @default.
- W2906259375 date "2018-08-16" @default.
- W2906259375 modified "2023-09-26" @default.
- W2906259375 title "Classification algorithms in Data Mining" @default.
- W2906259375 hasPublicationYear "2018" @default.
- W2906259375 type Work @default.
- W2906259375 sameAs 2906259375 @default.
- W2906259375 citedByCount "2" @default.
- W2906259375 countsByYear W29062593752020 @default.
- W2906259375 countsByYear W29062593752021 @default.
- W2906259375 crossrefType "journal-article" @default.
- W2906259375 hasAuthorship W2906259375A5002158755 @default.
- W2906259375 hasAuthorship W2906259375A5028356071 @default.
- W2906259375 hasAuthorship W2906259375A5079808382 @default.
- W2906259375 hasConcept C110083411 @default.
- W2906259375 hasConcept C116834253 @default.
- W2906259375 hasConcept C119857082 @default.
- W2906259375 hasConcept C12267149 @default.
- W2906259375 hasConcept C124101348 @default.
- W2906259375 hasConcept C151730666 @default.
- W2906259375 hasConcept C154945302 @default.
- W2906259375 hasConcept C206688291 @default.
- W2906259375 hasConcept C2779343474 @default.
- W2906259375 hasConcept C41008148 @default.
- W2906259375 hasConcept C48044578 @default.
- W2906259375 hasConcept C50644808 @default.
- W2906259375 hasConcept C52001869 @default.
- W2906259375 hasConcept C59822182 @default.
- W2906259375 hasConcept C77088390 @default.
- W2906259375 hasConcept C84525736 @default.
- W2906259375 hasConcept C86803240 @default.
- W2906259375 hasConcept C94124525 @default.
- W2906259375 hasConceptScore W2906259375C110083411 @default.
- W2906259375 hasConceptScore W2906259375C116834253 @default.
- W2906259375 hasConceptScore W2906259375C119857082 @default.
- W2906259375 hasConceptScore W2906259375C12267149 @default.
- W2906259375 hasConceptScore W2906259375C124101348 @default.
- W2906259375 hasConceptScore W2906259375C151730666 @default.
- W2906259375 hasConceptScore W2906259375C154945302 @default.
- W2906259375 hasConceptScore W2906259375C206688291 @default.
- W2906259375 hasConceptScore W2906259375C2779343474 @default.
- W2906259375 hasConceptScore W2906259375C41008148 @default.
- W2906259375 hasConceptScore W2906259375C48044578 @default.
- W2906259375 hasConceptScore W2906259375C50644808 @default.
- W2906259375 hasConceptScore W2906259375C52001869 @default.
- W2906259375 hasConceptScore W2906259375C59822182 @default.
- W2906259375 hasConceptScore W2906259375C77088390 @default.
- W2906259375 hasConceptScore W2906259375C84525736 @default.
- W2906259375 hasConceptScore W2906259375C86803240 @default.
- W2906259375 hasConceptScore W2906259375C94124525 @default.
- W2906259375 hasIssue "4" @default.
- W2906259375 hasLocation W29062593751 @default.
- W2906259375 hasOpenAccess W2906259375 @default.
- W2906259375 hasPrimaryLocation W29062593751 @default.
- W2906259375 hasRelatedWork W1529156857 @default.
- W2906259375 hasRelatedWork W2041564642 @default.
- W2906259375 hasRelatedWork W2187967669 @default.
- W2906259375 hasRelatedWork W2306153876 @default.
- W2906259375 hasRelatedWork W2357078979 @default.
- W2906259375 hasRelatedWork W2550631002 @default.
- W2906259375 hasRelatedWork W2735855392 @default.
- W2906259375 hasRelatedWork W2737727062 @default.
- W2906259375 hasRelatedWork W2810741818 @default.
- W2906259375 hasRelatedWork W2895707368 @default.
- W2906259375 hasRelatedWork W2962122314 @default.
- W2906259375 hasRelatedWork W2974351173 @default.
- W2906259375 hasRelatedWork W3004080417 @default.
- W2906259375 hasRelatedWork W3006536008 @default.
- W2906259375 hasRelatedWork W3091897064 @default.
- W2906259375 hasRelatedWork W309845829 @default.
- W2906259375 hasRelatedWork W3193585841 @default.
- W2906259375 hasRelatedWork W3200002225 @default.
- W2906259375 hasRelatedWork W2565585052 @default.
- W2906259375 hasRelatedWork W2744600799 @default.
- W2906259375 hasVolume "31" @default.
- W2906259375 isParatext "false" @default.
- W2906259375 isRetracted "false" @default.
- W2906259375 magId "2906259375" @default.
- W2906259375 workType "article" @default.