Intelligent sales prediction using machine learning techniques
Intelligent Decision Analytical System requires integration of decision analysis and
predictions. Most of the business organizations heavily depend on a knowledge base and …
predictions. Most of the business organizations heavily depend on a knowledge base and …
Prediction analysis sales for corporate services telecommunications company using gradient boost algorithm
O Wisesa, A Adriansyah… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Sales prediction analysis requires smart data mining techniques with accurate prediction
models and high reliability. Essentially, most market segments rely on the knowhow base …
models and high reliability. Essentially, most market segments rely on the knowhow base …
Student performance prediction on primary and secondary schools-a systematic literature review
Student performance prediction is a relevant topic to schools and universities. By this
means, they can act preventively and, also, allocate resources more accurately when at-risk …
means, they can act preventively and, also, allocate resources more accurately when at-risk …
An intelligent hybrid scheme for customer churn prediction integrating clustering and classification algorithms
Nowadays, customer churn has been reflected as one of the main concerns in the processes
of the telecom sector, as it affects the revenue directly. Telecom companies are looking to …
of the telecom sector, as it affects the revenue directly. Telecom companies are looking to …
HELA: A novel hybrid ensemble learning algorithm for predicting academic performance of students
SB Keser, S Aghalarova - Education and Information Technologies, 2022 - Springer
Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …
Education has been improved by analyzing educational data related to student academic …
Student profile modeling using boosting algorithms
The student profile has become an important component of education systems. Many
systems objectives, as e-recommendation, e-orientation, e-recruitment and dropout …
systems objectives, as e-recommendation, e-orientation, e-recruitment and dropout …
Learning time acceleration in support vector regression: a case study in educational data mining
The development of a country involves directly investing in the education of its citizens.
Learning analytics/educational data mining (LA/EDM) allows access to big observational …
Learning analytics/educational data mining (LA/EDM) allows access to big observational …
Comparison of Classification Performances of MARS and BRT Data Methods: AB? DE-2016 Case
This research examined the relationships between student, teacher, school and instructional
qualifications and 8th grade students' science achievement, based on the conceptual …
qualifications and 8th grade students' science achievement, based on the conceptual …
Multivariate short-term traffic flow prediction based on real-time expressway toll plaza data using non-parametric techniques
Accurate real-time traffic flow prediction is a vital component of Intelligent Transportation
System (ITS). The real-time traffic flow prediction helps transportation authorities as well as …
System (ITS). The real-time traffic flow prediction helps transportation authorities as well as …
Forecasting the number of customers visiting restaurants using machine learning and statistical method
T Tanizaki, S Kozuma, T Shimmura - … 5–9, 2021, Proceedings, Part III, 2021 - Springer
In this paper, it is proposed the forecasting of the number of customers visiting restaurants
using machine learning and statistical method. There are some researches on forecasting …
using machine learning and statistical method. There are some researches on forecasting …