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.
In recent years, due to significant developments in online shopping and the widespread use of e-commerce, competition among companies has increased considerably. As a result, product reviews have become a primary factor in consumers' decision making, which has given rise to a market for fraudulent reviews about real products and services. In this study, the authors propose a model using a multiple...
Corpus is the set of language materials which are stored in computers and can use computers to search, query and analyze for enterprise decision-makers. Automated text categorization has been extensively studied and various techniques for document categorization. But based on the current scarcity of Chinese corpus, especially in the field of text categorization, the Chinese categorization corpus is...
A biologically inspired cognitive model is presented for human decision making and applied to the simulation of the web user. The model is based on the Neurophysiology description of multiple decision process; this is a well proven psychological theory. The model simulates the behaviour of a real user on a website and it was observed that the distribution of artificial web users in sessions successfully...
In its 5th decade, the Internet's future evolution is hampered by the increasing complexity and sophistication of the processes managing its infrastructure. Management costs require a technically skilled human intellect, amounting to a substantial part of total cost of ownership. Self-management is positioned as a key capacity towards a scalable future Internet architecture. Herein we present key...
Within the past decades, many fuzzy aggregation techniques, ordered weighted averaging (OWA) in particular, have proven effective for a wide range of information processing tasks, such as decision making, image analysis, database and machine learning. Despite reported successes, their potentials have yet to be explored for the emerging problem of link analysis, which aims to discover similarity and...
With the popularization and development of Internet, as a new business methodology, e-business Web sites are attracting the attention of public and springing with fierce competition. How to make the Web sites invincible and how to help the potential customers make decisions? The only way is to make a comprehensive and accurate evaluation of the sites. Many traditional approaches have done this job,...
Sentiment classification aims at mining reviews of people for a certain event's topic or product by automatic classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help people automatic analysis of customers' opinions from the web information. Automatic opinion mining will benefit...
In 2005, inspired by Von Neumannpsilas self-reproducing automata, the author had introduced self-reproducing machine learning (SRML). In this article the author is trying to explore the nature of self-reproducing machine learning, SRML architectures, formal structures, mathematical structures and its integrated systems software engineering principles. The author will demonstrate SRML technology to...
Recently, industry has begun investigating and moving towards utility computing, where computational resources (processing, memory and I/O) are availably on demand at a market cost. On-demand access to computational resources enables fine-grained resource allocation for web-based applications, e.g., the possibility of provisioning for a minimum workload while allowing the rental of additional resources...
Communities of learning practice is an innovative paradigm focused on providing appropriate technological support to both formal and especially informal learning groups who are chiefly formed by non-technical people and who lack of the necessary resources to acquire such systems. Typically, students who are often separated by geography and/or time have the need to meet each other after classes in...
In the paper the approach for the simulation of counteraction between malefactors and defense systems in the Internet is considered. We try to model these antagonistic actors as software agents' teams. To simulate the teams' warfare it is proposed to use various computational models (from analytical and packet-based to virtual and testbeds). The main attention is drawn to the application of agent-oriented...
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.