Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900040601> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2900040601 endingPage "304" @default.
- W2900040601 startingPage "297" @default.
- W2900040601 abstract "The following study is aimed at dealing with large volumes of data whose main characteristic is to contain a high number of variables, most of which are categorical in nature. In the knowledge extraction process, Knowledge Discovery in Databases (KDD), it is very common to deal with a stage of data pre-processing and dimensionality reduction. A key part of extracting information is having high quality data. This paper proposes the use of the Pairwise and Listwise methods as part of the dimensionality reduction process, when there is a high level of missing values present in one or more variables. As part of the pre-processing, we generate n-clusters using Kohonen Self-Organizing Maps (SOM) algorithm with H2O on R. A comparison of the performance and accuracy of classification algorithms is made with the complete subdata set and the algorithms are applied to each cluster. As a case study, we analyzed the characteristics that influence the level of schooling of women of childbearing age." @default.
- W2900040601 created "2018-11-16" @default.
- W2900040601 creator A5006009511 @default.
- W2900040601 creator A5044488052 @default.
- W2900040601 creator A5079599826 @default.
- W2900040601 date "2018-01-01" @default.
- W2900040601 modified "2023-09-26" @default.
- W2900040601 title "Machine Learning Methods Based Preprocessing to Improve Categorical Data Classification" @default.
- W2900040601 cites W2093238926 @default.
- W2900040601 cites W2282909996 @default.
- W2900040601 cites W2588336250 @default.
- W2900040601 cites W2744975914 @default.
- W2900040601 cites W2792895843 @default.
- W2900040601 cites W2795540890 @default.
- W2900040601 doi "https://doi.org/10.1007/978-3-030-03493-1_32" @default.
- W2900040601 hasPublicationYear "2018" @default.
- W2900040601 type Work @default.
- W2900040601 sameAs 2900040601 @default.
- W2900040601 citedByCount "2" @default.
- W2900040601 countsByYear W29000406012020 @default.
- W2900040601 crossrefType "book-chapter" @default.
- W2900040601 hasAuthorship W2900040601A5006009511 @default.
- W2900040601 hasAuthorship W2900040601A5044488052 @default.
- W2900040601 hasAuthorship W2900040601A5079599826 @default.
- W2900040601 hasConcept C10551718 @default.
- W2900040601 hasConcept C111030470 @default.
- W2900040601 hasConcept C111168008 @default.
- W2900040601 hasConcept C111919701 @default.
- W2900040601 hasConcept C119857082 @default.
- W2900040601 hasConcept C120567893 @default.
- W2900040601 hasConcept C124101348 @default.
- W2900040601 hasConcept C153180895 @default.
- W2900040601 hasConcept C154945302 @default.
- W2900040601 hasConcept C184898388 @default.
- W2900040601 hasConcept C34736171 @default.
- W2900040601 hasConcept C41008148 @default.
- W2900040601 hasConcept C5274069 @default.
- W2900040601 hasConcept C70518039 @default.
- W2900040601 hasConcept C73555534 @default.
- W2900040601 hasConcept C98045186 @default.
- W2900040601 hasConceptScore W2900040601C10551718 @default.
- W2900040601 hasConceptScore W2900040601C111030470 @default.
- W2900040601 hasConceptScore W2900040601C111168008 @default.
- W2900040601 hasConceptScore W2900040601C111919701 @default.
- W2900040601 hasConceptScore W2900040601C119857082 @default.
- W2900040601 hasConceptScore W2900040601C120567893 @default.
- W2900040601 hasConceptScore W2900040601C124101348 @default.
- W2900040601 hasConceptScore W2900040601C153180895 @default.
- W2900040601 hasConceptScore W2900040601C154945302 @default.
- W2900040601 hasConceptScore W2900040601C184898388 @default.
- W2900040601 hasConceptScore W2900040601C34736171 @default.
- W2900040601 hasConceptScore W2900040601C41008148 @default.
- W2900040601 hasConceptScore W2900040601C5274069 @default.
- W2900040601 hasConceptScore W2900040601C70518039 @default.
- W2900040601 hasConceptScore W2900040601C73555534 @default.
- W2900040601 hasConceptScore W2900040601C98045186 @default.
- W2900040601 hasLocation W29000406011 @default.
- W2900040601 hasOpenAccess W2900040601 @default.
- W2900040601 hasPrimaryLocation W29000406011 @default.
- W2900040601 hasRelatedWork W102552829 @default.
- W2900040601 hasRelatedWork W2016749013 @default.
- W2900040601 hasRelatedWork W2066259560 @default.
- W2900040601 hasRelatedWork W2184043162 @default.
- W2900040601 hasRelatedWork W2357668301 @default.
- W2900040601 hasRelatedWork W2612285664 @default.
- W2900040601 hasRelatedWork W2900040601 @default.
- W2900040601 hasRelatedWork W2947585550 @default.
- W2900040601 hasRelatedWork W4386417772 @default.
- W2900040601 hasRelatedWork W2566086483 @default.
- W2900040601 isParatext "false" @default.
- W2900040601 isRetracted "false" @default.
- W2900040601 magId "2900040601" @default.
- W2900040601 workType "book-chapter" @default.