FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288045490> ?p ?o ?g. }

• W4288045490 endingPage "1168" @default.
• W4288045490 startingPage "1147" @default.
• W4288045490 abstract "Software defect prediction (SDP) is an important research topic in software engineering. It can optimize the allocation of testing resources by indicating the defect-prone software modules. In recent years, ensemble learning has been frequently used in SDP. Ensemble learning can effectively improve the generalization ability of individual learners, but how to increase the diversity of individual learners is still an open issue. In this paper, we propose a random approximate reduct-based ensemble algorithm called ERAR. To increase the diversity of learners generated by ERAR, a novel technique, called random approximate reduct (RAR), is proposed to perturb the attribute space, and the resampling technique is used to perturb the instance space. RAR is derived from the random subspace method and the granular decision entropy-based reduct in rough set theory. We then investigate the application of ERAR in SDP. In order to alleviate the class imbalance issue in SDP, we further design a hybrid mechanism by combining ERAR with the Synthetic Minority Over-sampling Technique (SMOTE). Experimental results on 20 benchmark data sets show that the hybrid mechanism can provide competitive solutions for SDP." @default.
• W4288045490 created "2022-07-27" @default.
• W4288045490 creator A5009070599 @default.
• W4288045490 creator A5012467525 @default.
• W4288045490 creator A5032222101 @default.
• W4288045490 creator A5084020460 @default.
• W4288045490 date "2022-09-01" @default.
• W4288045490 modified "2023-10-15" @default.
• W4288045490 title "A random approximate reduct-based ensemble learning approach and its application in software defect prediction" @default.
• W4288045490 cites W1984533548 @default.
• W4288045490 cites W2021236931 @default.
• W4288045490 cites W2033099886 @default.
• W4288045490 cites W2043509863 @default.
• W4288045490 cites W2045810864 @default.
• W4288045490 cites W2046677448 @default.
• W4288045490 cites W2065547122 @default.
• W4288045490 cites W2092179332 @default.
• W4288045490 cites W2097883090 @default.
• W4288045490 cites W2113242816 @default.
• W4288045490 cites W2148143831 @default.
• W4288045490 cites W2150757437 @default.
• W4288045490 cites W2179438935 @default.
• W4288045490 cites W2312398278 @default.
• W4288045490 cites W2567149662 @default.
• W4288045490 cites W2594133594 @default.
• W4288045490 cites W2756848027 @default.
• W4288045490 cites W2898762959 @default.
• W4288045490 cites W2964849278 @default.
• W4288045490 cites W2966026435 @default.
• W4288045490 cites W3014780393 @default.
• W4288045490 cites W3020067472 @default.
• W4288045490 cites W3033234605 @default.
• W4288045490 cites W3087938565 @default.
• W4288045490 cites W3111875476 @default.
• W4288045490 cites W3116033035 @default.
• W4288045490 cites W3128670807 @default.
• W4288045490 cites W3137849480 @default.
• W4288045490 cites W3143218101 @default.
• W4288045490 cites W3195285466 @default.
• W4288045490 cites W3215948402 @default.
• W4288045490 cites W4220677409 @default.
• W4288045490 cites W4221057950 @default.
• W4288045490 cites W4245807786 @default.
• W4288045490 doi "https://doi.org/10.1016/j.ins.2022.07.130" @default.
• W4288045490 hasPublicationYear "2022" @default.
• W4288045490 type Work @default.
• W4288045490 citedByCount "4" @default.
• W4288045490 countsByYear W42880454902023 @default.
• W4288045490 crossrefType "journal-article" @default.
• W4288045490 hasAuthorship W4288045490A5009070599 @default.
• W4288045490 hasAuthorship W4288045490A5012467525 @default.
• W4288045490 hasAuthorship W4288045490A5032222101 @default.
• W4288045490 hasAuthorship W4288045490A5084020460 @default.
• W4288045490 hasBestOaLocation W42880454901 @default.
• W4288045490 hasConcept C111012933 @default.
• W4288045490 hasConcept C119857082 @default.
• W4288045490 hasConcept C124101348 @default.
• W4288045490 hasConcept C13280743 @default.
• W4288045490 hasConcept C134306372 @default.
• W4288045490 hasConcept C150921843 @default.
• W4288045490 hasConcept C154945302 @default.
• W4288045490 hasConcept C177148314 @default.
• W4288045490 hasConcept C185798385 @default.
• W4288045490 hasConcept C199360897 @default.
• W4288045490 hasConcept C205649164 @default.
• W4288045490 hasConcept C2777904410 @default.
• W4288045490 hasConcept C32834561 @default.
• W4288045490 hasConcept C33923547 @default.
• W4288045490 hasConcept C41008148 @default.
• W4288045490 hasConcept C45942800 @default.
• W4288045490 hasConcept C69177213 @default.
• W4288045490 hasConceptScore W4288045490C111012933 @default.
• W4288045490 hasConceptScore W4288045490C119857082 @default.
• W4288045490 hasConceptScore W4288045490C124101348 @default.
• W4288045490 hasConceptScore W4288045490C13280743 @default.
• W4288045490 hasConceptScore W4288045490C134306372 @default.
• W4288045490 hasConceptScore W4288045490C150921843 @default.
• W4288045490 hasConceptScore W4288045490C154945302 @default.
• W4288045490 hasConceptScore W4288045490C177148314 @default.
• W4288045490 hasConceptScore W4288045490C185798385 @default.
• W4288045490 hasConceptScore W4288045490C199360897 @default.
• W4288045490 hasConceptScore W4288045490C205649164 @default.
• W4288045490 hasConceptScore W4288045490C2777904410 @default.
• W4288045490 hasConceptScore W4288045490C32834561 @default.
• W4288045490 hasConceptScore W4288045490C33923547 @default.
• W4288045490 hasConceptScore W4288045490C41008148 @default.
• W4288045490 hasConceptScore W4288045490C45942800 @default.
• W4288045490 hasConceptScore W4288045490C69177213 @default.
• W4288045490 hasFunder F4320321001 @default.
• W4288045490 hasFunder F4320324174 @default.
• W4288045490 hasLocation W42880454901 @default.
• W4288045490 hasOpenAccess W4288045490 @default.
• W4288045490 hasPrimaryLocation W42880454901 @default.
• W4288045490 hasRelatedWork W1984319728 @default.
• W4288045490 hasRelatedWork W2029307344 @default.
• W4288045490 hasRelatedWork W2046677448 @default.
• W4288045490 hasRelatedWork W2090993435 @default.
• W4288045490 hasRelatedWork W2342469683 @default.

• next