Browsing by Subject "Classification"
Now showing items 1-8 of 8
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An approach for predicting employee churn by using data mining
(IEEE, 2017)Employee churn prediction which is closely related to customer churn prediction is a major issue of the companies. Despite the importance of the issue, there is few attention in the literature about. In this study, we ... -
A cost-sensitive decision tree approach for fraud detection
(Elsevier, 2013-11-01)With the developments in the information technology, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed for credit card systems, ... -
Enhancing deep learning models for campaign participation prediction
(2019-07-31)Companies engage with their customers in order to establish a long-term relationship. Targeting the right audience with the right product is crucial for providing better services to customers, increasing their loyalty to ... -
Intelligent classification-based methods in customer profitability modeling
(Springer International Publishing, 2015)The expected profits from customers are important informations for the companies in giving acquisition/retention decisions and developing different strategies for different customer segments. Most of these decisions can ... -
MaLeFICE: Machine learning support for continuous performance improvement in computational engineering
(Wiley, 2022-04-25)Computer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings ... -
Minimal sign representation of boolean functions: algorithms and exact results for low dimensions
(MIT Press, 2015-08)Boolean functions (BFs) are central in many fields of engineering and mathematics, such as cryptography, circuit design, and combinatorics. Moreover, they provide a simple framework for studying neural computation mechanisms ... -
On the use of machine learning for predicting defect fix time violations
(Science and Technology Publications, 2022)Accurate prediction of defect fix time is important for estimating and coordinating software maintenance efforts. Likewise, it is useful to predict whether or not the initially estimated defect fix time will be exceeded ... -
Prediction algorithm & learner selection for European day-ahead electricity prices
(IEEE, 2020-10)The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. This study was intended in the first place to find out the best time series prediction ...
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