Customer churn presents a significant challenge for businesses in the era of subscription-
based services because retaining customers plays a key role in sustained growth. Existing …

Today's fiercely competitive business environment has given significant importance to
customer churn, a term used for the loss of customers, which possesses a significant …

In finance and management, insurance is a product that tends to reduce or eliminate in
totality or partially the loss caused due to different risks. Various factors affect house …

Evaluating the ability of a classifier to make predictions on unseen data and increasing it by
tweaking the learning algorithm are two of the main reasons motivating the evaluation of …

Customer churn prediction is vital for organizations to mitigate costs and foster growth.
Ensemble learning models are commonly used for churn prediction. Diversity and prediction …

Customer churn is a situation that receives extensive analysis using a variety of techniques
from data mining or machine learning. Data mining techniques may be used to anticipate …

이 연구의 목적은 2022 FIBA 남자농구 아시아컵 경기대회의 공식기록 (box score) 을 사용하여
전통적 측면 에서의 통계적 방법, 데이터마이닝 기법, 머신러닝의 기법을 활용하여 예측 성능을 …

In this study, addressing the critical issue of early customer churn detection in the banking
industry is acknowledged as pivotal for augmenting customer trust and retention. A stacked …

요약본 연구는 빅데이터 분석과 다양한 머신러닝 기법을 적용하여 한국프로농구 경기결과를
예측하고 각 기법의 알고리즘 성능을 하이퍼 파라미터 최적화를 통해 개선하고 비교 분석하기 …

Earlier when people wanted to buy some products, they had to visit the respective store for it.
In the past 20 years, the world has seen a surge in the concept of E-commerce. Earlier there …