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A machine learning-based framework for preventing video freezes in HTTP adaptive streaming
2017
Journal of Network and Computer Applications
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Despite that, HAS clients can still suffer from freezes in the video playout, the main factor influencing users' Quality of Experience (QoE). ...
HTTP Adaptive Streaming (HAS) represents the dominant technology to deliver videos over the Internet, due to its ability to adapt the video quality to the available bandwidth. ...
This work was partly funded by FLA-MINGO, a Network of Excellence project (ICT-318488) supported by the European Commission under its Seventh Framework Programme. ...
doi:10.1016/j.jnca.2017.07.009
fatcat:fz3w2nrskvb4lfdvrjg4oouoxe
Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement
[chapter]
2018
Advances in Intelligent Systems and Computing
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[15] proposed the use of a decision tree in order to map networkrelated features onto the video rate. ...
The examined classification algorithms were the k -Nearest Neighbour (k -NN) for k = 1, 3, 5, 10, the Linear Support Vector Machines (SVM), the SVM with RBF and quadratic kernels, the Decision Trees (DT ...
doi:10.1007/978-3-319-78753-4_1
fatcat:2qwpuvx5qfepphth7zzg6pabz4
Hybrid Non-Reference QoE Prediction Model for 3D Video Streaming Over Wireless Networks
2018
International Journal of Advanced Computer Science and Applications
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User's perceived quality of experience (QoE) and quality of service (QoS) are the most important key factors for the success of video delivery. ...
With the rapid growth in mobile device users, and increasing demand for video applications, the traffic from 2D/3D video services is expected to account the largest proportion of internet traffics. ...
Among the popular examples are Fuzzy Inference Systems (FIS), Artificial Neural Networks (ANN), and Decision Tree. ...
doi:10.14569/ijacsa.2018.0911100
fatcat:ortm5k5or5h3ree5gh757ebsmy
A Hierarchical Classification Model of QoE Influence Factors
[chapter]
2015
Lecture Notes in Computer Science
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That's why, operators are investigating a new concept called Quality of Experience (QoE), to evaluate the real quality perceived by users. ...
This estimation can be influenced by a lot of factors called : Quality of Experience Influence Factors (QoE IFs). In this work, we survey and review existing approaches to classify QoE IFs. ...
Acknowledgment This work has been funded by LiSSi laboratory from the UPEC university in the framework of the French cooperative project PoQEMoN, Pôle de Compétitivité Systematic (FUI 16). ...
doi:10.1007/978-3-319-22572-2_16
fatcat:ko7oh35torfyrdp4vt6qw3dfoi
Quality of Experience Metric of Streaming Video: A survey
2018
Iraqi Journal of Science
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Using QoS and Quality of Experience (QoE) together can give guarantee to the distribution of video content according to video content characteristics and the user experience . ...
To measure the users' perception of the quality we use Quality of Experience (Qo E) metric . ...
Building an efficient quality of experience metric is an important goal of the QoE predictions model. ...
doi:10.24996/ijs.2018.59.3b.19
fatcat:pas6wfigizdclfoyh2cmmpkqny
Quality of consumer experience data mining for mobile multimedia communication networks: learning from measurements campaign
2015
International Journal of Wireless and Mobile Computing
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An empirical comparison of modern data mining methods for quality prediction and estimation of speech and video telephony services is presented. ...
This paper presents an experimental approach of the major data mining algorithms which can be applied to the quality prediction of provided services by contemporary mobile communication networks. ...
Arthur Tollenaar from SwissQual AG, Switzerland, for the provision of live network drive-test data regarding of video telephony service. ...
doi:10.1504/ijwmc.2015.066751
fatcat:iko5mg4yjnghrhub6udjnkq7ui
A Method of Using Data Mining and Edge Computing to Calculate the Standing Efficiency of Basketball Games
2021
Security and Communication Networks
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The continuous improvement of basketball tactics has high requirements for athletes' position selection. This article proposes an intelligent method for basketball position selection. ...
Massive basketball game data will provide people with richer content. Analyzing massive basketball game data can provide a new method for position efficiency calculation. ...
To some extent, the prediction of the decision tree is only shown in the memory data, but the random forest prevents for this kind of problem to occur; it is not just a decision tree, but a combination ...
doi:10.1155/2021/9732171
doaj:e211a308e89a42cdb44007f0126cde09
fatcat:zcr2ielunjcbvbzgmg4rblraaa
Classification of web services using data mining algorithms and improved learning model
2019
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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The results are compared with various techniques random forest, artificial neural network, J48 decision tree, extreme gradient boosting, K-nearest neighbor, and support vector machine. ...
To discover and re-use web services in the organization to select the services which are business and quality of service (QoS) needs. The QWS dataset is used for experiments. ...
Professor, the University of Washington for providing QWS dataset. ...
doi:10.12928/telkomnika.v17i6.11510
fatcat:xfk3g4jisfa2hhrhqd6bkxdfui
New Technology for Machine to Machine Communication in Softnet Towards 5G
2017
International Journal of Wireless & Mobile Networks
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for seamless transmission of data packets over the network. ...
Challenges associated with M2M communication are the lack of standards, security, poor infrastructure, interoperability and diverse architecture. ...
The main aim of this process is maximizing the experience of video quality for end users. ...
doi:10.5121/ijwmn.2017.9201
fatcat:w6f2dybd55fjtfdft5i6xj6iai
A Review of Network Traffic Analysis and Prediction Techniques
[article]
2015
arXiv
pre-print
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This paper presents a survey on various such network analysis and traffic prediction techniques. The uniqueness and rules of previous studies are investigated. ...
Various techniques are proposed and experimented for analyzing network traffic including neural network based techniques to data mining techniques. ...
Innumerable number of researchers have been implemented an effective network traffic algorithm for the analysis and the prediction of network traffic. ...
arXiv:1507.05722v2
fatcat:swz67bqfejcnfhs4kchw5rkaxu
Classifying Student's Learning Experience using Improved Apriori and CART
2017
International Journal of Computer Applications
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The existing technique implemented for the classification for the Student's learning experience provides multi-label classification to reflect various problems but fails to provide the improvement in accuracy ...
Tree. ...
Compare H=0.056 compare with the decision tree choose right branch. ...
doi:10.5120/ijca2017915311
fatcat:blwi3ksoinbx5dzngllqupxkre
Computational Intelligence in Multimedia Networking and Communications: Trends and Future Directions
[chapter]
2008
Studies in Computational Intelligence
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This paper presents a review of the current literature on computational intelligence based approaches to various problems in multimedia networking and communications such as call admission control, management ...
Challenges to be addressed and future directions of research are also presented. ...
[66] propose a genetic algorithm based neural-fuzzy inference network for extraction of the features characterizing traffic at each node of a binary decision tree that is used in mixed scheduling of ...
doi:10.1007/978-3-540-76827-2_2
fatcat:7pat2jzdezcu5jxa5g52qj4fnq
Optimizing Prediction of YouTube Video Popularity Using XGBoost
2021
Electronics
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We have also analyzed the classification of unpopular videos for a comparison with our results. ...
YouTube is a source of income for many people, and therefore a video's popularity ultimately becomes the top priority for sustaining a steady income, provided that the popularity of videos remains the ...
Social networks are becoming a wide source of information for people through the use of internet and with the help of the internet. ...
doi:10.3390/electronics10232962
fatcat:d4hqvyqpcrhyjnmxc2low57p3y
Data Mining in Biomedicine: Current Applications and Further Directions for Research
2009
Journal of Software Engineering and Applications
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Establishing a methodology for knowledge discovery and management of the large amounts of heterogeneous data has become a major priority of research. ...
Applications of the multimedia mining, including text, image, video and web mining, are discussed. The key issues faced by the computing professional, medical doctors and clinicians are highlighted. ...
The authors would like to express their sincere thanks to the Research Committee of The Hong Kong Polytechnic University for financial support of the research work presented in this paper. ...
doi:10.4236/jsea.2009.23022
fatcat:24qp2zpq2nbdhl22fzgtg7apwy
Security and Privacy Mechanisms for Sensor Middleware and Application in Internet of Things (IoT)
2016
International Journal of Distributed Sensor Networks
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The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. ...
There are more devices connected to the Internet than people on the planet, and the prediction is that there will be 50 billion IoT devices by 2020. ...
We are also grateful to all the reviewers for their high-quality and timely expert reviews that provided many valuable suggestions to the authors.
Namje Park Hongxin Hu Qun Jin ...
doi:10.1155/2016/2965438
fatcat:cqnoq74sqjepbdidozxzi4mynm
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