Marketing analytics: Methods, practice, implementation, and links to other fields
Marketing analytics is a diverse field, with both academic researchers and practitioners
coming from a range of backgrounds including marketing, expert systems, statistics, and …
coming from a range of backgrounds including marketing, expert systems, statistics, and …
Customer churn prediction system: a machine learning approach
The customer churn prediction (CCP) is one of the challenging problems in the telecom
industry. With the advancement in the field of machine learning and artificial intelligence, the …
industry. With the advancement in the field of machine learning and artificial intelligence, the …
Customer churn prediction in telecom using machine learning in big data platform
Customer churn is a major problem and one of the most important concerns for large
companies. Due to the direct effect on the revenues of the companies, especially in the …
companies. Due to the direct effect on the revenues of the companies, especially in the …
Differential privacy: its technological prescriptive using big data
Data is being produced in large amounts and in rapid pace which is diverse in quality,
hence, the term big data used. Now, big data has started to influence modern day life in …
hence, the term big data used. Now, big data has started to influence modern day life in …
Differentially private machine learning using a random forest classifier
I Nerurkar, C Hockenbrocht, L Damewood… - US Patent …, 2020 - Google Patents
A request from a client is received to generate a differentially private random forest classifier
trained using a set of restricted data. The differentially private random forest classifier is …
trained using a set of restricted data. The differentially private random forest classifier is …
Predicting student dropout in higher education
L Aulck, N Velagapudi, J Blumenstock… - arXiv preprint arXiv …, 2016 - arxiv.org
Each year, roughly 30% of first-year students at US baccalaureate institutions do not return
for their second year and over $9 billion is spent educating these students. Yet, little …
for their second year and over $9 billion is spent educating these students. Yet, little …
Leveraging unstructured call log data for customer churn prediction
Customer retention is important in the financial services industry. Machine learning has
been incorporated into customer data analytics to predict client churn risks. Despite its …
been incorporated into customer data analytics to predict client churn risks. Despite its …
A big data clustering algorithm for mitigating the risk of customer churn
W Bi, M Cai, M Liu, G Li - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
As market competition intensifies, customer churn management is increasingly becoming an
important means of competitive advantage for companies. However, when dealing with big …
important means of competitive advantage for companies. However, when dealing with big …
A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection
Customer churn is one of the most critical issues faced by the telecommunication industry
(TCI). Researchers and analysts leverage customer relationship management (CRM) data …
(TCI). Researchers and analysts leverage customer relationship management (CRM) data …
Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector
Customer retention is a major challenge in several business sectors and diverse companies
identify the customer churn prediction (CCP) as an important process for retaining the …
identify the customer churn prediction (CCP) as an important process for retaining the …