Results 151 to 160 of about 9,240 (196)

Managing inventories for perishable e-groceries: The value of probabilistic information. [PDF]

PLoS One
Winkelmann D, Ulrich M, Römer M, Langrock R, Jahnke H.   +4 more
europepmc   +1 more source

An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation. [PDF]

PeerJ Comput Sci
Fatima G, Khan S, Aadil F, Kim DH, Atteia G, Alabdulhafith M.   +5 more
europepmc   +1 more source

Dynamic pricing modeling and inventory management in omnichannel retail using Quantum Decision Theory and reinforcement learning. [PDF]

PLoS One
Roosta S, Sadjadi SJ, Makui A.
europepmc   +1 more source

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

Sci Rep
Wei H.
europepmc   +1 more source

Risk-Sensitive Machine Learning for Financial Decision Modeling Under Imbalanced Data: Evidence from Bank Telemarketing. [PDF]

Entropy (Basel)
Dong B, Zhang X, Liu Y, Zhang T, Liu X, Hou L, Meng L, Guo Z, Mulati A.   +8 more
europepmc   +1 more source

Research on optimization of personalized recommendation method based on RFMQ model- taking outdoor sports products in cross-border e-commerce as an example. [PDF]

Front Big Data
Chen Q, Chen C, Jiang Z, Li C, Tan Y, Li N, Zhou B, Yang B.   +7 more
europepmc   +1 more source

An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction. [PDF]

Comput Struct Biotechnol J
Emmanuel J, Isewon I, Oyelade J.
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

Optimization of pharmacy membership management system based on big data: Sleeping member activation and awakening methods using ANN modeling.

Heliyon
Liang J, Zhou X, Yuan C, Chen Y.
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