Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Supachai Laoviboon"'
Autor:
Supachai Laoviboon, Komate Amphawan
Publikováno v:
Studies in Big Data ISBN: 9783030049201
High-utility itemset mining (HUIM) currently plays an important role in a wide range of applications and data mining community. Several algorithms, methods and data structures have been proposed to improve efficiency of mining for such itemsets. Besi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc44b995cb05273937e3bef8884576c4
https://doi.org/10.1007/978-3-030-04921-8_7
https://doi.org/10.1007/978-3-030-04921-8_7
Autor:
Supachai Laoviboon, Komate Amphawan
Publikováno v:
KST
High-utility itemsets mining (HUIM) is proposed to discover itemsets giving high utilities (such as high profit, low cost/risk and other factors). This can help to extract hidden-knowledge from buying behavior of customers. However, HUIM may not suff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de99e26d58f507a61399c1cadef11b9c
https://doi.org/10.1109/kst.2017.7886099
https://doi.org/10.1109/kst.2017.7886099
