Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ly T. Manh"'
Autor:
Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Le V. Nguyen, Unil Yun, Vaclav Snasel, Bay Vo
Publikováno v:
IEEE Access, Vol 11, Pp 104789-104805 (2023)
High-utility itemset mining (HUIM) is an important task in the field of knowledge data discovery. The large search space and huge number of HUIs are the consequences of applying HUIM algorithms with an inappropriate user-defined minimum utility thres
Externí odkaz:
https://doaj.org/article/f347f1ea7fa945cfa3f63c337ded437c
Autor:
Bay Vo, Le V. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Loan T. T. Nguyen, Tzung-Pei Hong
Publikováno v:
IEEE Access, Vol 8, Pp 90465-90477 (2020)
High-utility itemset mining (HUIM) in transaction databases has been extensively studied to discover interesting itemsets from users' purchase behaviors. With this, business managers can adjust their sale strategies appropriately to increase profit.
Externí odkaz:
https://doaj.org/article/520cdd424d094375a943b9eeca89ee93
Autor:
Mi T. H. Lam, Thuy T. T. Nguyen, Bay Vo, Thuy T. M. Duong, Ly T. Manh, Hamido Fujita, Vinh V. Vu, Loan T. T. Nguyen
Publikováno v:
Information Sciences. 495:78-99
Mining closed high utility itemsets (CHUIs) involves finding a representative set of HUIs that is usually smaller than that of HUIs but can generate the full HUIs without loss of information. Researchers have therefore shown interest in this problem,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34511d80bc9a27f13a196ef9488d1c4
https://doi.org/10.1016/j.ins.2019.05.006
https://doi.org/10.1016/j.ins.2019.05.006