Matches in SemOpenAlex for { <https://semopenalex.org/work/W3209782015> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W3209782015 abstract "Clustering in transaction databases can find potentially useful patterns to gain some insight into the structure of the data, which can help for effective decision-making. However, one of the critical tasks in clustering is to identify the appropriate number of clusters, which will determine the performance of any process further applied to the transaction database. This paper presents a methodology to discover the optimal structure of purchase transaction data using the Davies-Bouldin and Calinski-Harabasz validity indices to obtain the number of clusters and formed them with the farthest-first traversals algorithm. The quality of the structures previously formed is evaluated with data complexity measures such as F1, F2, F3, N1 and IR. In this work, we use the support vector machine and multi-layer perceptron classification algorithms, to determine recognition ability in classification problems of more than two classes, and in the context of separability and imbalance of classes present in the groups previously obtained. The experimental results exhibit the viability of the proposed methodology for decision-making." @default.
- W3209782015 created "2021-11-08" @default.
- W3209782015 creator A5011422867 @default.
- W3209782015 creator A5012057272 @default.
- W3209782015 creator A5037394945 @default.
- W3209782015 date "2021-01-01" @default.
- W3209782015 modified "2023-09-24" @default.
- W3209782015 title "Identifying Optimal Clusters in Purchase Transaction Data" @default.
- W3209782015 cites W1598095079 @default.
- W3209782015 cites W1942480565 @default.
- W3209782015 cites W1983753875 @default.
- W3209782015 cites W1985059878 @default.
- W3209782015 cites W1992419399 @default.
- W3209782015 cites W2014756888 @default.
- W3209782015 cites W2031903754 @default.
- W3209782015 cites W2045042261 @default.
- W3209782015 cites W2047555270 @default.
- W3209782015 cites W2051224630 @default.
- W3209782015 cites W2057923756 @default.
- W3209782015 cites W2064899579 @default.
- W3209782015 cites W2065010396 @default.
- W3209782015 cites W2073583237 @default.
- W3209782015 cites W2125877832 @default.
- W3209782015 cites W2129066856 @default.
- W3209782015 cites W2733722625 @default.
- W3209782015 cites W2898072413 @default.
- W3209782015 cites W4234105269 @default.
- W3209782015 doi "https://doi.org/10.1007/978-3-030-89817-5_1" @default.
- W3209782015 hasPublicationYear "2021" @default.
- W3209782015 type Work @default.
- W3209782015 sameAs 3209782015 @default.
- W3209782015 citedByCount "0" @default.
- W3209782015 crossrefType "book-chapter" @default.
- W3209782015 hasAuthorship W3209782015A5011422867 @default.
- W3209782015 hasAuthorship W3209782015A5012057272 @default.
- W3209782015 hasAuthorship W3209782015A5037394945 @default.
- W3209782015 hasConcept C111919701 @default.
- W3209782015 hasConcept C119857082 @default.
- W3209782015 hasConcept C12267149 @default.
- W3209782015 hasConcept C124101348 @default.
- W3209782015 hasConcept C127722929 @default.
- W3209782015 hasConcept C151730666 @default.
- W3209782015 hasConcept C154945302 @default.
- W3209782015 hasConcept C2779343474 @default.
- W3209782015 hasConcept C41008148 @default.
- W3209782015 hasConcept C50644808 @default.
- W3209782015 hasConcept C60908668 @default.
- W3209782015 hasConcept C73555534 @default.
- W3209782015 hasConcept C75949130 @default.
- W3209782015 hasConcept C77088390 @default.
- W3209782015 hasConcept C86803240 @default.
- W3209782015 hasConcept C98045186 @default.
- W3209782015 hasConceptScore W3209782015C111919701 @default.
- W3209782015 hasConceptScore W3209782015C119857082 @default.
- W3209782015 hasConceptScore W3209782015C12267149 @default.
- W3209782015 hasConceptScore W3209782015C124101348 @default.
- W3209782015 hasConceptScore W3209782015C127722929 @default.
- W3209782015 hasConceptScore W3209782015C151730666 @default.
- W3209782015 hasConceptScore W3209782015C154945302 @default.
- W3209782015 hasConceptScore W3209782015C2779343474 @default.
- W3209782015 hasConceptScore W3209782015C41008148 @default.
- W3209782015 hasConceptScore W3209782015C50644808 @default.
- W3209782015 hasConceptScore W3209782015C60908668 @default.
- W3209782015 hasConceptScore W3209782015C73555534 @default.
- W3209782015 hasConceptScore W3209782015C75949130 @default.
- W3209782015 hasConceptScore W3209782015C77088390 @default.
- W3209782015 hasConceptScore W3209782015C86803240 @default.
- W3209782015 hasConceptScore W3209782015C98045186 @default.
- W3209782015 hasLocation W32097820151 @default.
- W3209782015 hasOpenAccess W3209782015 @default.
- W3209782015 hasPrimaryLocation W32097820151 @default.
- W3209782015 hasRelatedWork W10015831 @default.
- W3209782015 hasRelatedWork W11033076 @default.
- W3209782015 hasRelatedWork W12278135 @default.
- W3209782015 hasRelatedWork W1678066 @default.
- W3209782015 hasRelatedWork W2124813 @default.
- W3209782015 hasRelatedWork W3140435 @default.
- W3209782015 hasRelatedWork W621929 @default.
- W3209782015 hasRelatedWork W6310906 @default.
- W3209782015 hasRelatedWork W6984603 @default.
- W3209782015 hasRelatedWork W8394581 @default.
- W3209782015 isParatext "false" @default.
- W3209782015 isRetracted "false" @default.
- W3209782015 magId "3209782015" @default.
- W3209782015 workType "book-chapter" @default.