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Author03f1e2d1272dd1057d40a230b1ff04b2 (1)3f24788cb75f892bb4dcf38f03669411 (1)7f8bc6c4d65f444fb00bd3778bc623fc (1)aziz, shariq (1)Carmine Sinito, Diego (1)De la Hoz Manotas, Alexis Kevin (1)fa2f7d5e0ff0366731533371a68acb9a (1)Fernández, Claudia (1)Herz, Jeannette (1)Mendoza Palechor, Fabio (1)... View MoreSubject
Data mining (3)
Algorithms (1)Anomalous data (1)Automatic learning (1)Big data (1)C4.5 algorithm (1)Dataset (1)Decision Trees (1)LMT algorithm (1)Noise (1)... View MoreDate Issued
2021 (3)
Has File(s)Yes (3)

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Indicators for smart cities: tax illicit analysis through data mining 

Silva, Jesús; Solano, Darwin; Fernández, Claudia; Nieto Ramos, Lainet; Urdanegui, Rosella; Herz, Jeannette; Mercado, Alberto; Ovallos-Gazabon, David (Corporación Universidad de la Costa, 2021)
The anomalies in the data coexist in the databases and in the non-traditional data that can be accessed and produced by a tax administration, whether these data are of internal or external origin. The analysis of certain ...
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Classification and features selection method for obesity level prediction 

Molina Estren, Diego; De la Hoz Manotas, Alexis Kevin; Mendoza Palechor, Fabio (2021-06-15)
Obesity has become one of the world’s largest health issues, rich and poor countries, without exception, have each year larger populations with this condition. Obesity and overweight are defined as abnormal or excessive fat ...
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Human activity recognition through wireless body sensor networks (WBSN) applying data mining techniques 

Rocha, Jimmy Alfonso; Piñeres Espitia, Gabriel Dario; aziz, shariq; De-La-Hoz-Franco, Emiro; Tariq, Muhammad Imran; Carmine Sinito, Diego; Comas Gonzalez, Zhoe (Springer Verlag, 2021-11-26)
The research field on technologies and wireless sensor networks (WSN) are becoming one of the most disruptive technologies that support different scenarios of ubiquitous and generalized computing. WSN applied to the human ...

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