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Network traffic classification has become vital due to the increased flow of web traffic from services like HTTP, FTP, and SMTP etc. The idea of Network traffic classification is to categorize the network traffic and regulate the flow of data in the network there by monitoring the traffic. In this paper, a comparative analysis of different supervised learning algorithms like Ensemble learning methods,...
The excessive use of the communication networks, rising of Internet of Things leads to increases the vulnerability to the important and secret information. advance attacking techniques and number of attackers are increasing radically. Intrusion is one of the main threats to the internet. Hence security issues had been big problem, so that various techniques and approaches have been presented to address...
The purpose of this research is to summarize customer reviews of cosmetic products that were written in Thai by using sentiment analysis technics. We expect that text summarization system will help refine the results from customer review. The consumer will then be able to select the products that meet their needs while the cosmetic company will also have a chance to improve the quality of the products...
Currently Internet usage has increased a lot due to bandwidth availaility and technology advancements. Internet is widely used for knowledge sharing, online review of products etc. Many open forums, blogs are used for this purpose. Since many users are contributing their opinions towards any query submitted by information seeker, there is a possibility of confusion. Often opinions contradict with...
Recent years have brought the burst of volume of shared opinionated texts across the internet. Every day, a tremendous number of comments and reviews towards different aspects of our lives is generated through social networks and other websites. A large portion of these data is written in Arabic which is the fifth most used language on internet [1] and is one of the six official languages of the United...
With the growing scale of the Internet, the amount of data is increasing rapidly as well. In order to improve the user experience, the recommendation system came into being. It recommends products to the user by analyzing the user's behavior. In the recommendation system, collaborative filtering algorithm is one of the most widely used algorithms. While the traditional collaborative filtering is no...
With the rise of the three course provider including Coursera, Udacity and edX in US in 2012, massive open online courses(MOOC), as a new mode of education, boomed a wave of online higher education and swept quickly across the world. MOOC platforms, with a wide range of audience, high quality of curriculum, flexible teaching methods and rich teaching resources, are more and more popular in students...
Internet traffic classification is one of the key foundations for research works and traffic engineering in Internet. With the rapid increase of Internet applications and the number of Internet flow, the technique challenges are coupled with development of traffic classification all the time. Currently, the machine learning-based technique has attracted much attention, since it can address the issues...
In the process of the rise of Internet, journalism industry has been impact greatly as a traditional media. And as a very important Internet technique to meet the needs of users, personalized recommendation has been paid much more attention currently by a great number of researchers who were engaged in the journalism industry. Personalized recommendation algorithm has been extensively studied, and...
Many researches have been carried out on network comments nowadays. In order to get more sentiment types, the paper put forward a opinion community discovery method based on sentiment of web comments and regional distribution, considering that Internet users from different regions have different perspectives on the same issue. First, the research clusters network comments into different opinion communities...
Network traffic in the world wide is calculated to rise every year twice the times. To keep pace and profit from this increased amount of flows efficiently. And offer new services. Some efficient techniques needed. Day by day new applications are invented and they have heterogeneous nature in network environment and communication between these new devices also a critical part. improving the network...
With the development of the Internet and the increasing amount of opinion-based data, an ordinary person is not able to process them all. Therefore the importance of automated processing of this data grows. Processing of text data is very difficult. The presented approach is designed to help with the classification of posts in which the author describes his opinion. We focused on the possibility of...
Terrible network environment is damaging the critical infrastructure and the interests of internet users. In order to ensure the protection and resilience of attack, it is important to better analyze and observe network traffic for discovering anomaly. This paper presents a clustering algorithm by using network-layer and transport-layer statistical feature to classify anomaly traffic. Experiments...
This paper proposed an automatic clustering algorithm based on entropy for discovering the interest pattern over users' web log. We introduced the information entropy on the basis of clustering algorithm. Compared with traditional clustering algorithms, our method does not require any parameters specified by the end user. Meanwhile, it can discover the clusters in arbitrary shape and size. Experimental...
There are few Chinese dish recommendation algorithms due to the variety of Chinese dishes. It could be impossible to find one's most liked dishes in a restaurant through the name or the ingredients of a dish. The algorithm in this paper uses the user's ordering history to quantify one's taste by k-means clustering method and determines the number of user's favorite tastes by the BWP index. With the...
Due to ever growing demand for the Internet resources, the Internet is facing ossification problem. Network virtualization is a promising way of supporting multiple heterogeneous networks onto a single substrate physical network offering solution to the problem. However, embedding Virtual Networks (VN) on a Substrate Network (SN) meeting the resource requirements of VNs and resource constraints of...
With the continuous development of the Internet technology, nowadays personalized service and recommendation technology have been paid more attentions. The paper aims at accurate user classification for tag application systems and proposes the feasible solution which can mine users' intention in reviews and extend the tag semantics by open knowledge platform. Experiments validate the proposed solution...
With the rapid growth of the Internet, the importance of application traffic analysis increases for efficient network management. The statistical information in traffic flows, can be efficiently utilized for application traffic identification. However, the packet out-of-order and retransmission generated at the traffic collection point reduce the performance of the statistics-based traffic analysis...
World Wide Web is the collection of web pages which are linked to each other directly or indirectly. Through these hyperlinks among webpages, web graph is created by following these hyperlinks. In the field of webpage ranking, hyperlink analysis is used in most of the researches. Hyperlink analysis is the approach to analyze various resources around the hyperlink in the webpage. In hyperlink analysis,...
The OFEX (Optimal and Fully EXplicit) rate controller is able to provide not only the optimal bandwidth allocation but also the fully explicit congestion signal to sources. It feeds back the congestion signal from the most congested link along a flow path, instead of the summation of congestion signals. The OFEX controller overcomes the drawbacks of the relatively explicit controllers that (1) bias...
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