Matches in SemOpenAlex for { <https://semopenalex.org/work/W2987788345> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2987788345 abstract "Class imbalance has been proven to seriously hinder the precision of many standard learning algorithms. To solve this problem, a number of methods have been proposed, for example, the distance-based balancing ensemble method that learns the unbalanced dataset by converting it into multiple balanced subsets on which sub-classifiers are built. However, the class-imbalance problem is usually accompanied by other data-complexity problems such as class overlap, small disjuncts, and noise instance. Current algorithms developed for primary unbalanced-data problems cannot address the complex-data problems at the same time. Some of these algorithms even exacerbate the class-overlap and small-disjuncts problems after trying to address the complex-data problem. On this account, this study proposes a dynamic ensemble selection decision-making (DESD) method. The DESD first repeats the random-splitting technique to divide the dataset into multiple balanced subsets that contain no or few class-overlap and small-disjunct problems. Then, the classifiers are built on these subsets to compose the candidate classifier pool. To select the most appropriate classifiers from the candidate classifier pool for the classification of each query instance, we use a weighting mechanism to highlight the competence of classifiers that are more powerful in classifying minority instances belonging to the local region in which the query instance is located. Tests with 15 standard datasets from public repositories are performed to demonstrate the effectiveness of the DESD method. The results show that the precision of the DESD method outperforms other ensemble methods." @default.
- W2987788345 created "2019-11-22" @default.
- W2987788345 creator A5001330715 @default.
- W2987788345 creator A5051186001 @default.
- W2987788345 creator A5081935913 @default.
- W2987788345 date "2019-01-01" @default.
- W2987788345 modified "2023-09-24" @default.
- W2987788345 title "A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced Data" @default.
- W2987788345 cites W134582654 @default.
- W2987788345 cites W1662118192 @default.
- W2987788345 cites W2016375676 @default.
- W2987788345 cites W2038705219 @default.
- W2987788345 cites W2045042261 @default.
- W2987788345 cites W2062349655 @default.
- W2987788345 cites W2097048139 @default.
- W2987788345 cites W2118978333 @default.
- W2987788345 cites W2145940431 @default.
- W2987788345 cites W2148143831 @default.
- W2987788345 cites W2338318698 @default.
- W2987788345 cites W2514327397 @default.
- W2987788345 cites W2562319768 @default.
- W2987788345 cites W2612634114 @default.
- W2987788345 cites W2755371172 @default.
- W2987788345 cites W2784045057 @default.
- W2987788345 cites W2792895843 @default.
- W2987788345 cites W2794124609 @default.
- W2987788345 cites W2946229570 @default.
- W2987788345 cites W4252684946 @default.
- W2987788345 cites W578835786 @default.
- W2987788345 doi "https://doi.org/10.1007/978-3-030-34223-4_23" @default.
- W2987788345 hasPublicationYear "2019" @default.
- W2987788345 type Work @default.
- W2987788345 sameAs 2987788345 @default.
- W2987788345 citedByCount "3" @default.
- W2987788345 countsByYear W29877883452020 @default.
- W2987788345 countsByYear W29877883452021 @default.
- W2987788345 countsByYear W29877883452022 @default.
- W2987788345 crossrefType "book-chapter" @default.
- W2987788345 hasAuthorship W2987788345A5001330715 @default.
- W2987788345 hasAuthorship W2987788345A5051186001 @default.
- W2987788345 hasAuthorship W2987788345A5081935913 @default.
- W2987788345 hasConcept C119857082 @default.
- W2987788345 hasConcept C124101348 @default.
- W2987788345 hasConcept C126838900 @default.
- W2987788345 hasConcept C153180895 @default.
- W2987788345 hasConcept C154945302 @default.
- W2987788345 hasConcept C183115368 @default.
- W2987788345 hasConcept C41008148 @default.
- W2987788345 hasConcept C71924100 @default.
- W2987788345 hasConcept C95623464 @default.
- W2987788345 hasConceptScore W2987788345C119857082 @default.
- W2987788345 hasConceptScore W2987788345C124101348 @default.
- W2987788345 hasConceptScore W2987788345C126838900 @default.
- W2987788345 hasConceptScore W2987788345C153180895 @default.
- W2987788345 hasConceptScore W2987788345C154945302 @default.
- W2987788345 hasConceptScore W2987788345C183115368 @default.
- W2987788345 hasConceptScore W2987788345C41008148 @default.
- W2987788345 hasConceptScore W2987788345C71924100 @default.
- W2987788345 hasConceptScore W2987788345C95623464 @default.
- W2987788345 hasLocation W29877883451 @default.
- W2987788345 hasOpenAccess W2987788345 @default.
- W2987788345 hasPrimaryLocation W29877883451 @default.
- W2987788345 hasRelatedWork W1595101524 @default.
- W2987788345 hasRelatedWork W2030214874 @default.
- W2987788345 hasRelatedWork W2170989130 @default.
- W2987788345 hasRelatedWork W2263302838 @default.
- W2987788345 hasRelatedWork W2361537573 @default.
- W2987788345 hasRelatedWork W2563096758 @default.
- W2987788345 hasRelatedWork W2603091890 @default.
- W2987788345 hasRelatedWork W2749003024 @default.
- W2987788345 hasRelatedWork W2961085424 @default.
- W2987788345 hasRelatedWork W3133185844 @default.
- W2987788345 isParatext "false" @default.
- W2987788345 isRetracted "false" @default.
- W2987788345 magId "2987788345" @default.
- W2987788345 workType "book-chapter" @default.