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Software Data Penduduk Indonesia
Software Data Penduduk Indonesia










  1. #Software Data Penduduk Indonesia software
  2. #Software Data Penduduk Indonesia license

An Extended Support Vector Machine Forecasting Framework for Customer Churn in E-Commerce.

Software Data Penduduk Indonesia

Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). An Application of Oversampling Undersampling Bagging and Boosting in Handling Imbalanced Datasets. Data Mining: Practical Machine Learning Tools and Techniques (3rd ed.). European Journal of Operational Research 218(1) 211-229. New Insights into Churn Prediction in the Telecommunication Sector: A Profit Driven Data Mining Approach. International Journal of Computer Applications 42(20) 5-9. Applications of Data Mining Techniques in Telecom Churn Prediction. Cost-sensitive Boosting for Classification of Imbalanced Data. Geneva: International Telecommunication Union. Negative Correlation Learning for Customer Churn Prediction: A Comparison Study. Proceedings of the international conference on Multimedia information retrieval (pp. AdaOUBoost: Adaptive Over-sampling and Under-sampling to Boost the Concept Learning in Large Scale Imbalanced Data Sets. Tekno: 2015 Pengguna "Mobile" Lampaui Jumlah Penduduk Dunia. Proceedings of the Twenty-Seventh Annual SAS® Users Group International Conference (pp. Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS.

Software Data Penduduk Indonesia

Bayesian Artificial Intelligence (2nd ed.). International Journal of Information Sciences and Techniques (IJIST) Vol.2 No.3 63-75. Implementation of Naïve Bayesian Classifier and Ada-Boost Algorithm Using Maize Expert System. Improved Churn Prediction in Telecommunication Industry Using Data Mining Techniques. (IJACSA) International Journal of Advanced Computer Science and Applications 2(2) 17-19. Churn Prediction in Telecommunication Using Data Mining Technology. Expert Systems with Applications 1414-1425. Customer Churn Prediction in Telecommunications. International Journal of Emerging Technology and Advanced Engineering 5(3) 225-230. Analysis of Customer Churn in Mobile Industry using Data Mining. European Journal of Operational Research 223(2) 461-472. A Hierarchical Multiple Kernel Support Vector Machine for Customer Churn Prediction Using Longitudinal Behavioral Data. Journal of Artificial Intelligence Research 321–357.Ĭhen Z.-Y. SMOTE: Synthetic Minority Over-sampling Technique. Acta Polytechnica Hungarica 9(4) 193-206.Ĭhawla N.

#Software Data Penduduk Indonesia software

Performance Evaluation Metrics for Software Fault Prediction Studies.

Software Data Penduduk Indonesia

World of Computer Science and Information Technology Journal (WCSIT) 105-109.Ĭatal C. A Hybrid Classifier using Boosting Clustering and Naïve Bayesian Classifier.

Software Data Penduduk Indonesia

#Software Data Penduduk Indonesia license

The licensor cannot revoke these freedoms as long as you follow the license terms.Afza A. Share - copy and redistribute the material in any medium or formatĪdapt - remix, transform, and build upon the material The license type is CC-BY-SA 4.0.ĮKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. For the new invention, authors are suggested to manage its patent before published. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract) that it is not under consideration for publication elsewhere that its publication has been approved by all co-authors. An author who publishes in the Jurnal Media Infotama agrees to the following terms:Īuthor retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal












Software Data Penduduk Indonesia