Results 161 to 170 of about 17,450 (209)

SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration. [PDF]

Sci Rep
Wei H.
europepmc   +1 more source

Match experiences affect interest: Impacts of matchmaking and performance on churn in a competitive game. [PDF]

Heliyon
Kang H, Suh C, Kim HK.
europepmc   +1 more source

Determining human resource management key indicators and their impact on organizational performance using deep reinforcement learning. [PDF]

Sci Rep
Sun Z.
europepmc   +1 more source

Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis. [PDF]

Bioresour Bioprocess
Hou G, Alkhayyat A, Almalkawi A, Yadav A, Shreenidhi HS, Saini V, Shomurotova S, Singh D, Jain V, Smerat A, Khalid A.   +10 more
europepmc   +1 more source

Churn Prediction in Digital Marketing

, 2019
openaire   +2 more sources

Within-project and cross-project defect prediction based on model averaging. [PDF]

Sci Rep
Li T, Wang Z, Shi P.
europepmc   +1 more source

Investigation of drag models for simulation of gas-liquid two-phase flow systems. [PDF]

Sci Rep
Adzaklo SY, Sarkodie K, Agyei E, Yamoah S, Asiedu NY.   +4 more
europepmc   +1 more source

An instructional emperor pigeon optimization (IEPO) based DeepEnrollNet for university student enrolment prediction and retention recommendation. [PDF]

Sci Rep
Sharma SK.
europepmc   +1 more source

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Customer churn prediction in telecommunications

Expert Systems With Applications, 2012
This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc.
Mohand Tahar Kechadi
exaly   +2 more sources

Bank Customer Churn Prediction

Indian Journal of Data Mining, 2023
In the current challenging era, there is a stiff competition happening between the banking industries. To strengthen the grade and level of services they provide, banks focus on customer retention as well as the customer churning. Customer churning becomes one of the duties of corporate intelligences to speculate the number of customers leaving from ...
Jufin P A, Amrutha N
openaire   +2 more sources