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.
The article is devoted to the study of the method of self-learning of an artificial intelligence, based on the use of software tools for collecting information from various Internet resources. There is developed a web crawler that analyzes Internet resources for the presence of false articles by data mining methods based on an artificial intelligence and by self-learning through the mechanism of neural...
Integratedly use the knowledge of the social network theory based on the traditional trust, and compute the trust of the users of online auction transactions, because of lack of Intelligence, flexibility and initiative in current recommendation system, the Auction Mechanism Based Distributed Personalized Recommendation System was proposed. In this system, intelligent agent technology was used. The...
Most of the existing academic social networks like DBLP and ArnetMiner suggest co-authors as being related to each author based on author and co-author details, which are extracted from academic researchers publications. Instead of this approach, we propose grouping of researchers on basis of topics they have in common that would make more semantic sense for a user searching for publications in an...
Logistics has come to a new stage named intelligent logistics with the development of Internet of things technology. The current application situation, technical support and development prospects of this technology are analyzed in this paper.
Organizations of all sizes wrestle with the problem of "coping with information overload." They ingest more and more data, in new and varied formats every day, and struggle more and more vigorously to find the nuggets of knowledge hidden away within the vast amounts of information. Furthermore, due to the various and pervasive types of noise in the haystack of data, it is increasingly and...
Data mining helps to uncover valuable information from raw data in large volume. However, the latter usually comes in text instead of structured form, and contains noise which makes analysis difficult. Therefore, it is of vital importance to extract and clean raw data before in-depth analysis are applied. This paper presents a new approach to data extraction and cleaning from semi-structured Chinese...
In Web environment,information is easier to get for the retail enterprises. However, knowledge discovery in databases become increasing difficulty. Data sources in Web environment is unstructured, these data need to enter the business intelligence through the pretreatment system. Business Intelligence enables retail to be intelligence and automation, including market basket analysis, customer value...
With the rapid development of online shopping, on-line one-to-one marketing becomes a great assistance to e-shoppers. One of the most important marketing resources is the prior daily transaction records in the database. In this study, the paper propose a new methodology for predict e-shoppers' purchase behavior that uses e-shoppers' purchase sequences. First, transaction clustering is conducted, then...
The paper deals with the following topics: algorithms; artificial intelligence; bioinformatics; geoinformatics; communication networks; computer architecture; VLSI; computer security; data mining; databases; distributed systems; financial systems; health informatics; image processing; information science; intelligent control systems; Internet; e-commerce; knowledge creation; middleware; mobile computing;...
In view of the severe situation in coal mine safety production, using tomcat6.0 as the Web server software, through the dynamic web page struts technology and ibatis framework technology to realize database connectivity, using Myeclipse 5.5.1 as a development tool, we develope the web-based system which is monitoring and managing of the coal mine safety equipment intelligently. For different units,...
With the source of information gaining strongly in the international network, people more and more take pay attention to how to quickly and valuably mining the useful information in the network. The main method of information mining is to apply the technology of search engine. The existing search engine has some defects, these defects restricts the performance of search engine. In this paper, based...
The information on the Internet has been grown exponentially, the Internet users are overwhelmed by these information. How to automatically extract useful information from the relevant pages, so as to provide a convenient and rapid information query platform for the users, is an important issue. In this paper, based on simple tree matching algorithm, we present a Web data extraction method based on...
Recently, since the growth of the Internet, World Wide Web has become significant infrastructure in various fields such as business, commerce, education and so on. Accordingly, a user has gathered information by using the Internet. However due to increasing Web pages, it becomes difficult for a user to collect desirable information. Advanced Web search engines may provide solution to some extent,...
Recent researches indicated that students' ability to construct evidence based explanations in classrooms through scientific inquiry is critical to successful science education. Structured argumentation support environments have been built and used in scientific discourse in the literature. To the best our knowledge, no research work in the literature addressed the issue of automatically assessing...
The following topics are dealt with: software engineering; artificial intelligence; parallel computing; and distributed computing; cryptography; collaborative computing; network security; data mining; image processing; signal processing; speech processing; Internet technology; mobile network; wireless network; ad hoc network; natural language processing; neural network; genetic algorithm; service-oriented...
With the rapid development of new theories and technologies, especially AI, data mining and emerging communication technologies, both data collection and smart data analysis have provided new approaches for the development and improvement of ITS (Intelligent Transportation Systems). This paper proposed an IEB-oriented ITS Model which combined data mining with 3S (RS, GIS, GPS) Technologies to help...
The following topics are dealt with: nonlinear systems; learning systems, neural networks; fuzzy system; fuzzy control; sliding mode control; control system; adaptive control; data mining; software architecture; wireless sensor networks; e-learning; protocols; image processing; video processing; MIMO systems; robotics; wind generators; mobile devices; mobile robots; XML; power supply; energy consumption;...
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.