Artificial Fish Swarm Algorithm based Multilayer Perceptron Model for Customer Churn Prediction in IoT with Cloud Environment

Customer Churn ◽

Artificial Fish Swarm ◽

Customer Churn Prediction ◽

Modified Artificial Fish Swarm Algorithm for Efficient Task Scheduling in Cloud Environment

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.13631371 ◽

2019 ◽

Vol 7 (5) ◽

pp. 1363-1371

Author(s):

H. Krishnaveni ◽

V. Sinthu Janita

Keyword(s):

Task Scheduling ◽

Cloud Environment ◽

Artificial Fish Swarm ◽

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) ◽

Customer Churn Prediction in Mobile Networks using Logistic Regression and Multilayer Perceptron(MLP)

10.1109/icgciot.2018.8752982 ◽

2018 ◽

Cited By ~ 4

Author(s):

Shrisha Bharadwaj ◽

B.S. Anil ◽

Abhiraj Pahargarh ◽

Adhiraj Pahargarh ◽

P.S. Gowra ◽

...

Keyword(s):

Logistic Regression ◽

Mobile Networks ◽

Multilayer Perceptron ◽

Churn Prediction ◽

Customer Churn ◽

PERFORMANCE EVALUATION OF CULTURAL ARTIFICIAL BEE COLONY AND CULTURAL ARTIFICIAL FISH SWARM ALGORITHM

i-manager s Journal on Computer Science ◽

10.26634/jcom.6.4.15725 ◽

2019 ◽

Vol 6 (4) ◽

pp. 43

Author(s):

HADIR ADEBIYI BUSAYO ◽

TIJANI SALAWUDEEN AHMED ◽

FOLASHADE O. ADEBIYI RISIKAT ◽

◽

...

Keyword(s):

Performance Evaluation ◽

Artificial Bee Colony ◽

Bee Colony ◽

Artificial Fish Swarm ◽

An Effective Customer Churn Prediction Model using Adaptive Gain with Back Propagation Neural Network in Cloud Computing Environment

Journal of Research on the Lepidoptera ◽

10.36872/lepi/v51i1/301034 ◽

2020 ◽

Vol 51 (1) ◽

pp. 386-399

Author(s):

JEYAKARTHIC M

Keyword(s):

Neural Network ◽

Cloud Computing ◽

Prediction Model ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Churn Prediction ◽

Computing Environment ◽

Cloud Computing Environment ◽

Customer Churn ◽

Optimal solution to distribution decision problem of distribution centre by artificial fish swarm algorithm

Journal of Computer Applications ◽

10.3724/sp.j.1087.2011.01652 ◽

2012 ◽

Vol 31 (6) ◽

pp. 1652-1655

Author(s):

Jin-cheng FANG ◽

Qi-shan ZHANG

Keyword(s):

Decision Problem ◽

Optimal Solution ◽

Distribution Centre ◽

Artificial Fish Swarm ◽

Improved artificial fish swarm algorithm based on social learning mechanism

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.01305 ◽

2013 ◽

Vol 33 (5) ◽

pp. 1305-1307 ◽

Cited By ~ 1

Author(s):

Yanbin ZHENG ◽

Jingjing LIU ◽

Ning WANG

Keyword(s):

Social Learning ◽

Learning Mechanism ◽

Artificial Fish Swarm ◽

A SURVEY OF EMPLOYEE AND CUSTOMER CHURN PREDICTION METHODOLOGIES

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.6.76 ◽

2020 ◽

Vol 9 (6) ◽

pp. 3955-3962

Author(s):

S. Madane ◽

D. Chitre

Keyword(s):

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction Embedded in an Analytical CRM Model

SSRN Electronic Journal ◽

10.2139/ssrn.3281605 ◽

2015 ◽

Author(s):

Ede Lázár

Keyword(s):

Churn Prediction ◽

Customer Churn ◽

Data Mining Techniques in Customer Churn Prediction

Recent Patents on Computer Science ◽

10.2174/1874479611003010028 ◽

2010 ◽

Vol 3 (1) ◽

pp. 28-32 ◽

Cited By ~ 1

Author(s):

Chih-Fong Tsai ◽

Yu-Hsin Lu

Keyword(s):

Data Mining ◽

Churn Prediction ◽

Data Mining Techniques ◽

Customer Churn ◽

Handling Class Imbalance in Customer Churn Prediction in Telecom Sector Using Sampling Techniques, Bagging and Boosting Trees

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke50421.2020.9303698 ◽

2020 ◽

Author(s):

Sajjad Shumaly ◽

Pedram Neysaryan ◽

Yanhui Guo

Keyword(s):

Class Imbalance ◽

Sampling Techniques ◽

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction ◽

Telecom Sector