... 12 2025 12 01 2026 © Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Artificial neural networks Reinforcement learning Classification Clustering Proactive fault detection Hybrid ANN The Scientific and Technological Research...

...Elham Amirizadeh; Reza Boostani Purpose The aim of this study is to propose a deep neural network (DNN) method that uses side information to improve clustering results for big datasets; also, the authors show that applying this information improves the performance of clustering and also increase...

...Seda Yanık; Abdelrahman Elmorsy Purpose The purpose of this paper is to generate customer clusters using self-organizing map (SOM) approach, a machine learning technique with a big data set of credit card consumptions. The authors aim to use the consumption patterns of the customers in a period...

... to improve the training process performance. This paper focuses on the clustering of the employees based on their profiles into specific categories that represent the employees’ characteristics. The employees are classified into following categories: necessary training, required training, and no training...

...M. Arif Wani; Romana Riyaz Purpose – The most commonly used approaches for cluster validation are based on indices but the majority of the existing cluster validity indices do not work well on data sets of different complexities. The purpose of this paper is to propose a new cluster validity...

.../approach – It is a combined DM (clustering and the nearest neighbor) technique for outliers’ detection, which provides a clear understanding and meaningful insights to visualize the data behaviors for healthcare safety. The outcomes or the knowledge implicit is vitally essential to a proper clinical...

... into three service groups. Originality/value – This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations. © Emerald Group Publishing Limited 2015 Cloud computing Clustering SaaS Learning cloud...

...Wenping Ma; Feifei Ti; Congling Li; Licheng Jiao Purpose The purpose of this paper is to present a Differential Immune Clone Clustering Algorithm (DICCA) to solve image segmentation. Design/methodology/approach DICCA combines immune clone selection and differential evolution, and two...

...Jingjing Ma; Maoguo Gong; Licheng Jiao Purpose The purpose of this paper is to present an evolutionary clustering algorithm based on mixed measure for complex distributed data. Design/methodology/approach In this method, the data are first partitioned into some spherical distributed sub...