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pro vyhledávání: '"G. Goes Lucas"'
Autor:
A. da Silva Luiz, Gutierrez Margarita, Zeng Wujun, V. Loginova Natalia, Kumar Manish, A. Ksendzova Galina, S. Kallimani Jagadish, K.G. Esguerra Saray, S. Pradeep, P. Osipovich Nikolai, Sharma Asmita, da Luz Eltchechem Camila, B. Sharma Jai, Bhatt Shailendra, I. Harbatsevich Hleb, I. Castro Ricardo, R.M. Malfatti Carlos, Wouk Jessica, I. Polozov Genrikh, G. Goes Lucas, E. Vergara Claudia, Zeng Bin, P.J. Macias Julyleth, Guzman Luis, Roshandel Emad, Davazdah-Emami Hamid, Forero-Doria Oscar, V. Koval’chuk Tatsiana, G. Marin Jaime, Nikkho Mohammad
Publikováno v:
Recent Advances in Computer Science and Communications. 13:1020-1030
Background: With the advent of data analysis and machine learning, there is a growing impetus of analyzing and generating models on historic data. The data comes in numerous forms and shapes with an abundance of challenges. The most sorted form of da