The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
An online auction is an auction held over the internet. In today's era of the internet, economies have changed the way than they were a few years back. The scope and reach of online auctions have been propelled by internet to the prominent level because online auctions break down and remove the physical limitations of traditional auctions such as geography, presence, time, space, etc. As online auction...
Nowadays, the number of internet users in Indonesia is increasing rapidly. This condition leads to possibility to use and analyze the data gathered from the internet users to show the big picture of the specific condition in certain region. Currently, there are some research on analyzing public mood, such as happy, sad, anger, fear, and neutral. The analysis itself consists of mood classification...
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...
The aim of this paper was to propose a classification system composed of monolingual classifiers and a multilingual decision module, for handling large numbers of multilingual documents. The system was compared with two monolingual classifiers, respectively for English and Polish, and with the maximum probability model. The tests were carried out over multilingual documents that contained components...
The purpose of the present work is creating an intelligent system to retrieve desired documents in Marathi language. The system also focuses on providing the personalized documents in Marathi language to the end user based on their interests identified from the browsing history. This paper presents the automatic categorization of Marathi documents and the literature survey of the related work done...
In order to enhance the service quality of network community, satisfy the growing demand of community users, this paper analyzes the content of network community from different aspects and provides a comprehensive method to divide the network community user group. On one hand, this method use link analysis techniques to study hyperlink, calculate the number of output links and input links, and then...
As a new form of malicious software, phishing websites appear frequently in recent years, which cause great harm to online financial services and data security. In this paper, we design and implement an intelligent model for detecting phishing websites. In this model, we extract 10 different types of features such as title, keyword and link text information to represent the website. Heterogeneous...
Trustworthy network is an inevitable trend in the development of high trusted computing and Internet. Behavior evaluation is an important research topic in trustworthy network. Till now, most effect focuses on the validity of host's and user's identity, such as integrity measurement and access control, which could not guarantee the trustworthiness of valid user's behavior. In this paper, we proposed...
With the widespread of Internet application, more and more enterprises build their Web sites and provide business information through Web pages. Web page classification could be used to assign the enterprise Web pages to one or more predefined business categories. On the purpose of Internet-based enterprises administration in E-government system, algorithms and application related to web page classification...
To obtain a better capacity of clustered Web servers, a load balancing algorithm is presented in this paper based on dual-load prediction, using the different characteristics of Web server users' requests for static and dynamic content. First, wavelet packet-SVR (support vector regression) prediction model is constructed; then, the arriving assignments are distributed according to the type of the...
Search Engine has proven its effectiveness for retrieval of information from World Wide Web. Traditionally, the search results are arranged in an ordered list by popularity and relevancy. However, the enormous size of matched Web pages causes inefficiency for users to locate the most relevant Web pages. A proper organization of the search result is important to improve its browsability of Web searching...
This paper presents a new algorithm of Web page classification, CUCS(Combined UC and SVM), for large training set. CUCS combines the advantages of SVM (Support Vector Machine) and UC (Unsupervised Clustering), achieving high precision and fast speed. In the training stage, CUCS gets clustering centers, which include positive example centers and negative ones, by means of UC. Then CUCS prunes training...
With tremendous and ever-growing amounts of electronic documents from World Wide Web and digital libraries, it becomes more and more difficult to get information that people really want. In order to predigest search process, people use clustering method to browse through search results. However traditional Chinese information clustering techniques are inadequate since they don't generate clusters...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.