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Wyszukujesz frazę "Bonilla, Edmundo" wg kryterium: Autor


Wyświetlanie 1-6 z 6
Tytuł:
Prediction of Missing Values in Adult Data Set of UCI Machine Learning : A Case of Study
Autorzy:
Luna, Alejandra
Bello, Mario
Hernandez, Ana
Bonilla, Edmundo
Powiązania:
https://bibliotekanauki.pl/articles/1397481.pdf
Data publikacji:
2020
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
Shannon theory
entropy
missing attributes
adult dataset
UCI Machine Learning
Opis:
These days, not having complete data of any kind can be a big problem for different organizations when making decisions. In this article, we propose to use Shannon entropy and information gain to predict and impute missing categorical data in any data set. It is detailed with an example of how entropy is applied and knows the level of uncertainty of each attribute value. Likewise, the imputation of the missing attributes is also carried out with other imputation techniques in the Adult data set of UCI Machine Learning to denote the advantages offered by the proposed methodology.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2020, 14, 22; 7-21
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of data mining techniques to find relationships between the dishes offered by a restaurant for the elaboration of combos based on the preferences of the diners
Autorzy:
Vazquez, Rosa Maria
Bonilla, Edmundo
Sanchez, Eduardo
Atriano, Oscar
Berruecos, Cinthya
Powiązania:
https://bibliotekanauki.pl/articles/118001.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
data mining
association rules
apriori algorithm
combos
Web Service
eksploracja danych
reguły asocjacji
algorytm a priori
kombinacje
Opis:
Currently, blended food has been a common menu item in fast food restaurants. The sales of the fast-food industry grow thanks to several sales strategies, including the “combos”, so, specialty, regional, family and buffet restaurants are even joining combos’ promotions. This research paper presents the implementation of a system that will serve as support to elaborate combos according to the preferences of the diners using data mining techniques to find relationships between the different dishes that are offered in a restaurant. The software resulting from this research is being used by the mobile application Food Express, with which it communicates through webservices. References
Źródło:
Applied Computer Science; 2019, 15, 2; 73-88
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Novel profile’s selection algorithm using AI
Autorzy:
Bello, Mario
Luna, Alejandra
Bonilla, Edmundo
Hernandez, Crispin
Pedroza, Blanca
Portilla, Alberto
Powiązania:
https://bibliotekanauki.pl/articles/117819.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
similarity metrics
recruitment
workers
college graduates
wskaźniki podobieństwa
rekrutacja
pracownicy
absolwenci uczelni
Opis:
In order to better understand the job requirements, recruitment processes, and hiring processes it is needed to know the people skills. For a recruiter this entails analyzing and comparing the curricula of each available candidate and determining the most appropriate candidate that the activities that are required by the position. This process must be carried in the shortest length of time possible. In this paper, an algorithm is proposed to identify those candidates, either workers or college graduates.
Źródło:
Applied Computer Science; 2020, 16, 1; 18-32
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Food delivery based on pso algortihm and google maps
Autorzy:
Soto, Sergio
Bonilla, Edmundo
Portilla, Alberto
Hernández, Jose C.
Atriano, Oscar
Quintero, Perfecto M.
Powiązania:
https://bibliotekanauki.pl/articles/117679.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
TSP
mapy Google
PSO
food delivery
Google maps
dostawa jedzenia
Opis:
This article presents a solution to deal with the optimization of delivery routes problem for a mobile application focused on the restaurant sector, by using a bioinspired algorithm (PSO) to minimize delivery costs, maximize a greater number of deliveries and recommend an optional route for food delivery. Different computational experiments are carried out by using Google Maps (API) for showing the best delivery route. The results obtained are very promising for offering a good delivery service.
Źródło:
Applied Computer Science; 2020, 16, 1; 60-72
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application for functionality and registration in the cloud of a microcontroller development board for IoT in AWS
Autorzy:
Pérez, Elizabeth
Araiza, Juan C.
Pozos, Dreysy
Bonilla, Edmundo
Hernández, José C.
Cortes, Jesús A.
Powiązania:
https://bibliotekanauki.pl/articles/1837785.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
AWS
IoT
MQTT
Opis:
The use of the Amazon Web Services cloud enables new functionalities that are not possible with traditional solutions: low latency, local data processing and storage, and direct connectivity to other cloud services. Reimagining the way IoT connectivity services are presented by combining AWS cloud technology with mobile connectivity offers rapid prototyping to help connect devices natively over Wi-Fi. For this, the MQTT communication protocol is used to interact with the IoT device and exchange data, which allows controlling the basic functions of a sensor node. The installation is realized through a software development kit (SDK), which allows the creation of an application for Android devices. This solution gives the option to integrate together, improving the connectivity of the IoT system. The results enable board logging and network configuration, and can also be used to control the IoT device. The embedded firmware provides the required security functions.
Źródło:
Applied Computer Science; 2021, 17, 2; 14-27
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying intelligent techniques for talent recruitment
Autorzy:
Flores-Hernández, Isaac
Bonilla-Huerta, Edmundo
Quintero-Flores, Perfecto Malaquías
Ponce, Oscar Atriano
Hernández-Hernández, José Crispín
Powiązania:
https://bibliotekanauki.pl/articles/117942.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
fuzzy logic
web scraping
personnel selection
AHP
logika rozmyta
selekcja personelu
Opis:
The objective of this research is to describe a system to aligned the hard and soft skills of the applicant to the current labor market. For this, a system was implemented which uses Web Scraping to get a general profile of an area, meanwhile for the evaluation of the applicant soft skills is used a Test Cleaver and for the hard skills fuzzy inference system is implemented. Therefore, the data is entered into an Analytic Hierarchy Process, with this, the applier is able to see which area is better to improve according to the hard and soft skills.
Źródło:
Applied Computer Science; 2019, 15, 2; 63-72
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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