Results 71 to 80 of about 25,623,750 (294)
Research on customer churn prediction and model interpretability analysis
In recent years, with the continuous improvement of the financial system and the rapid development of the banking industry, the competition of the banking industry itself has intensified. At the same time, with the rapid development of information technology and Internet technology, customers’ choice of financial products is becoming more and more ...
Ke Peng, Yan Peng, Wenguang Li
openaire +3 more sources
Abstract In fostering asset‐based literacy and language teaching in classroom and digital spaces, this study draws on OmoBerry, an educational YouTube channel, to demonstrate how educators can enact culturally inclusive digital multimodal language and literacy instructions with African immigrant youth.
Akinkunmi Oseni, Vaughn W. M. Watson
wiley +1 more source
ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering
Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones.
Maryam Shahabikargar +7 more
doaj +1 more source
Testing the performance of feature selection methods for customer churn analysis: Case study in B2B business [PDF]
Churn analysis has recently become one of the favorite topics of marketing teams with the development of machine learning models. This study aims to discover the most suitable feature selection (FS) model for churn analysis by using the databases of ...
Sancar, Semanur, Uzun-Per, Meryem
core +1 more source
Invasive goldfish trigger a regime shift in experimental lake ecosystems of varying trophic state
The pet trade distributes exotic animals around the globe that enrich human lives. However, some pets become pests when released into the wild. This study provides experimental evidence that goldfish will negatively affect native freshwater organisms and ecosystems.
William D. Hintz +2 more
wiley +1 more source
Negative Correlation Learning for Customer Churn Prediction: A Comparison Study
Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining
Ali Rodan +4 more
doaj +1 more source
A Predictive Analysis of Customer Churn
Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased ...
Eskils, Olivia, Backman, Anna
openaire +1 more source
Customer churning analysis using machine learning algorithms
Businesses must compete fiercely to win over new consumers from suppliers. Since it directly affects a company's revenue, client retention is a hot topic for analysis, and early detection of client churn enables businesses to take proactive measures to keep customers.
B. Prabadevi, R. Shalini, B. R. Kavitha
openaire +2 more sources
Prediction of Subscriber Churn Using Social Network Analysis [PDF]
In today\u27s world, mobile phone penetration has reached a saturation point. As a result, subscriber churn has become an important issue for mobile operators as subscribers switch operators for a variety of reasons.
Phadke, Chitra +4 more
core +1 more source
Student Income Support and Participation in Higher Education: A Cohort Analysis
ABSTRACT Background The 2008 Bradley Review introduced major reforms to Australian higher education, including a demand‐driven funding system and changes to student income support, aimed at expanding participation and improving equity outcomes. Aims This study examines how student income support receipt and higher education participation evolve across ...
Deborah A. Cobb‐Clark +2 more
wiley +1 more source

