Just-in-time customer churn prediction in the telecommunication sector
JOURNAL OF SUPERCOMPUTING
Authors: Amin, Adnan; Al-Obeidat, Feras; Shah, Babar; Al Tae, May; Khan, Changez; Durrani, Hamood Ur Rehman; Anwar, Sajid
Due to the exponential growth in technologies and a greater number of competitors in the telecom sector, the companies are facing a rigorous problem of customer churns. The customer churn is a phenomenon that highlights the customer's intention who may switch from a certain service or even the service provider company. Many customer churn prediction (CCP) techniques are developed by academics and practitioners to handle the customer churn in order to resolve the problems pertaining to customer retention. However, CCP is not widely studied in the scenario where the company is not having enough historical data due to either been a newly established company or due to the recent start of a new technology or even because of the loss of the historical data. The just-in-time (JIT) approach can be a more practical alternative to address this issue as compared to state-of-the-art CCP techniques. Unfortunately, similar to traditional churn prediction models, JIT also requires enough historical data. To address this gap in the traditional CCP models, this study uses the cross-company data, i.e., data from another company, in the context of JIT for addressing CCP problems in the telecom sector. We empirically evaluated the performance of the proposed model using publicly available datasets of two telecom companies. It is found from the empirical evaluation that in the JIT-CCP context: (i) it is possible to evaluate the performance of the predictive model using cross-company dataset for training purposes and (ii) it is evident that heterogeneous ensemble-based JIT-CCP model is more suitable approach to use as compared to individual classifier or homogeneous ensemble-based technique.
CCP-WSI Blind Test Series 3: A Nonlinear Froude-Krylov Modeling Approach
INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING
Authors: Giorgi, Giuseppe
Mathematical models are essential for the effective design of wave energy converters and hence for the achievement of economic viability and industrial feasibility. Despite the fact that the wave energy field is at least 45 years old, there is still a clear lack of standardization of modeling techniques and a large amount of room for increasing confidence in hydrodynamic models. The Collaborative Computational Project in Wave-Structure Interaction (CCP-WSI) project aims to define a level playing field of comparison for a plurality of models, evaluating their performance. This paper implements a computationally convenient approach to represent nonlinear Froude-Krylov forces, along with the inclusion of nonlinear kinematics.