Matches in SemOpenAlex for { <https://semopenalex.org/work/W2955448083> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2955448083 endingPage "967" @default.
- W2955448083 startingPage "957" @default.
- W2955448083 abstract "Web mining procedure helps the surfers to get the required information but finding the exact information is as good as finding a needle in a haystack. In this work, an intelligent prediction model using Tensor Flow environment for Graphics Processing Unit (GPU) devices has been designed to meet the challenges of speed and accuracy. The proposed approach is isolated into two stages: pre-processing and prediction. In the first phase, the procedure starts via looking through the URLs of various e-learning sites particular to computer science subjects. At that point, the content of looked through URLs are perused and after that from their keywords are produced identified with a particular subject in the wake of playing out the pre-processing of the content. Second phase is prediction that predicts query specific links of e-learning website. The proposed Intelligent E-learning through Web (IEW) has content mining, lexical analysis, classification and machine learning based prediction as its key features. Algorithms like SVM, Naïve Bayes, K-Nearest Neighbor, and Random Forest were tested and it was found that Random Forest gave an accuracy of 98.98%, SVM 42%, KNN 63% and Naïve Bayes 66%. Based on the results IEW uses Random forest for prediction." @default.
- W2955448083 created "2019-07-12" @default.
- W2955448083 creator A5007953658 @default.
- W2955448083 creator A5009428188 @default.
- W2955448083 date "2019-08-01" @default.
- W2955448083 modified "2023-10-16" @default.
- W2955448083 title "E-Learning Recommender System for Learners: A Machine Learning based Approach" @default.
- W2955448083 cites W1964537663 @default.
- W2955448083 cites W2042228598 @default.
- W2955448083 cites W2099052221 @default.
- W2955448083 cites W2109546091 @default.
- W2955448083 cites W2134148577 @default.
- W2955448083 cites W2171960770 @default.
- W2955448083 cites W2398391135 @default.
- W2955448083 cites W2580783295 @default.
- W2955448083 cites W2602916380 @default.
- W2955448083 cites W2626209413 @default.
- W2955448083 cites W2750225358 @default.
- W2955448083 cites W2786806895 @default.
- W2955448083 cites W2811048898 @default.
- W2955448083 cites W2864717551 @default.
- W2955448083 cites W2883325838 @default.
- W2955448083 cites W2921341206 @default.
- W2955448083 cites W2922364470 @default.
- W2955448083 doi "https://doi.org/10.33889/ijmems.2019.4.4-076" @default.
- W2955448083 hasPublicationYear "2019" @default.
- W2955448083 type Work @default.
- W2955448083 sameAs 2955448083 @default.
- W2955448083 citedByCount "7" @default.
- W2955448083 countsByYear W29554480832021 @default.
- W2955448083 countsByYear W29554480832022 @default.
- W2955448083 countsByYear W29554480832023 @default.
- W2955448083 crossrefType "journal-article" @default.
- W2955448083 hasAuthorship W2955448083A5007953658 @default.
- W2955448083 hasAuthorship W2955448083A5009428188 @default.
- W2955448083 hasBestOaLocation W29554480831 @default.
- W2955448083 hasConcept C119857082 @default.
- W2955448083 hasConcept C12267149 @default.
- W2955448083 hasConcept C124101348 @default.
- W2955448083 hasConcept C13424479 @default.
- W2955448083 hasConcept C154945302 @default.
- W2955448083 hasConcept C169258074 @default.
- W2955448083 hasConcept C41008148 @default.
- W2955448083 hasConcept C52001869 @default.
- W2955448083 hasConceptScore W2955448083C119857082 @default.
- W2955448083 hasConceptScore W2955448083C12267149 @default.
- W2955448083 hasConceptScore W2955448083C124101348 @default.
- W2955448083 hasConceptScore W2955448083C13424479 @default.
- W2955448083 hasConceptScore W2955448083C154945302 @default.
- W2955448083 hasConceptScore W2955448083C169258074 @default.
- W2955448083 hasConceptScore W2955448083C41008148 @default.
- W2955448083 hasConceptScore W2955448083C52001869 @default.
- W2955448083 hasIssue "4" @default.
- W2955448083 hasLocation W29554480831 @default.
- W2955448083 hasOpenAccess W2955448083 @default.
- W2955448083 hasPrimaryLocation W29554480831 @default.
- W2955448083 hasRelatedWork W2595988085 @default.
- W2955448083 hasRelatedWork W2979979539 @default.
- W2955448083 hasRelatedWork W2985924212 @default.
- W2955448083 hasRelatedWork W3127425528 @default.
- W2955448083 hasRelatedWork W3143658565 @default.
- W2955448083 hasRelatedWork W3195168932 @default.
- W2955448083 hasRelatedWork W4205958290 @default.
- W2955448083 hasRelatedWork W4283016678 @default.
- W2955448083 hasRelatedWork W4311106074 @default.
- W2955448083 hasRelatedWork W4320483443 @default.
- W2955448083 hasVolume "4" @default.
- W2955448083 isParatext "false" @default.
- W2955448083 isRetracted "false" @default.
- W2955448083 magId "2955448083" @default.
- W2955448083 workType "article" @default.