Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 6 (2020)  /  Artículo
ARTÍCULO
TITULO

Key Quality Indicators Prediction for Web Browsing with Embedded Filter Feature Selection

Su Xie    
Ke Li    
Mingming Xiao    
Le Zhang and Wanlin Li    

Resumen

In this paper, the prediction of over-the-top service quality is discussed, which is a promising way for mobile network engineers to tackle service deterioration as early as possible. Currently, traditional mobile network operation often takes appropriate remedial measures, when receiving customers? complaints about service problems. With the popularity of over-the-top services, this problem has become increasingly serious. Based on the service perception data crowd-sensed from massive smartphones in the mobile network, we first investigated the application of multi-label ReliefF, a well-known method of feature selection, in determining the feature weights of the perception data and propose a unified multi-label ReliefF (UML-ReliefF) algorithm. Then a feature-weighted multi-label k-nearest neighbor (ML-kNN) algorithm is proposed for the key quality indicators (KQI) prediction, by combining the UML-ReliefF and ML-kNN together in the learning. The experimental results for web browsing service show that UML-ReliefF can effectively identify the most influential features of the data and thus, lead to better performance for KQI prediction. The experiments also show that the feature-weighted KQI prediction is superior to its unweighted counterpart, since the former takes full advantage of all the features in the learning. Although there is still much room of improvement in the precision of the prediction, the proposed method is highly potential for network engineers to find the deterioration of service quality promptly and take measures before it is too late.

 Artículos similares

       
 
Lea Dasallas, Junghwan Lee, Sungphil Jang and Suhyung Jang    
Smart water cities (SWCs) use advanced technologies for efficient management and preservation of the urban water cycle, strengthening sustainability and improving the quality of life of the residents. This research aims to develop measurement and evaluat... ver más
Revista: Water

 
Peiyue Li and Jianhua Wu    
This editorial introduces the Special Issue titled ?Water Resources and Sustainable Development,? underscoring the critical need for sustainable management of water resources in light of increasing demand, climate change impacts, and pollution. The issue... ver más
Revista: Water

 
Emin Aktan, Ivan Bartoli, Branko Gli?ic and Carlo Rainieri    
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various ban... ver más
Revista: Infrastructures

 
Changping Sun, Mengxia Li, Linying Chen and Pengfei Chen    
Effective utilization of tugboats is the key to safe and efficient transport and service in ports. With the growth of maritime traffic, more and more large seaports show a trend toward becoming super-scale, and are divided into multiple specialized termi... ver más

 
Xinyue Zhao, Fangxu Gui, Heng Chen, Lanxin Fan and Peiyuan Pan    
Transformers, as the hub equipment of the power system, are highly valued by engineering and scientific researchers in production practice and scientific research. The goal of transformer research is to ensure the safe operation of transformers while con... ver más
Revista: Applied Sciences