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.
Relationships between entities in many complex systems, such as the Internet and social networks, have a natural hierarchical organization. Understanding these inherent hierarchies is essential for creating models of these systems. Thus, there is a recent body of research concerning the extraction of hierarchies from networks. We propose a new method for modeling hierarchies through extracting the...
Regarding information technologies, transnational education has to face several challenges in order to offer a suitable education for computer science students worldwide. Software tools, and specially open source ones, give to the students the possibility of experiment with the most known techniques in the area. Among them, the KEEL software tool can be highlighted as a versatile framework for understanding...
This work evaluates two simple speculation methods in terms of the mean losses and benefits they produce under different market conditions, after 200 days of activity. One of the methods is widely known while the other is proposed by the authors. An application was developed to mine the prices of financial assets from free web information providers. The results relate to stocks of the Spanish IBEX-35.
Ports are examples of complicated infrastructure that today face a wide variety of threats. In order to ensure the security of our ports, many different kinds of sensors are needed. Port security systems must also include appropriate information fusion and information exchange systems, and advanced decision support systems that helps the human operators to achieve situation awareness, i.e., the understanding...
In the context of financial storm, financial crisis early warning has become an important object of research in the field of corporate financial management. This paper collected the data from China Stock Market Trading Database (CSMAR) and sorted out the financial indices of listed companies. We first used factor analysis to select variables and extract common factors, and then established the financial...
This work investigates the use of knowledge about organizational roles captured in enterprise models for service configuration. Based on an industrial case, it presents a way to extract a role's information demand and to use this as initial configuration for agent-based services. In addition to the meta-model included in the enterprise modeling language, the use of a common ontology is proposed which...
One of the aims of system biology is to infer gene networks that represent interaction between genes from biological data. Many computational methods have been developed to infer gene networks using microarray data in order to understand cellular processes and relations between genes. Gene network inference will generate hypothesis about novel gene functions and also verify known gene functions. However,...
Semi-supervised learning is necessary for the extensive application of machine learning in practice. It can use unlabeled data to improve the performance of existing supervised machine learning method. In this work, we addressed the biomedical relation classification problem by utilizing a semi-supervised method which can train Maximum Entropy models according to Generalized Expectation criteria....
Although the last decade there is a remarkable trend towards green energy, thermal power plants still cover most of the energy production and will continue to do so in the near future. Consequently, it is important to apply methods reducing the gas emissions. Towards this goal, an innovative software application that improves the regulation of combustion parameters is presented in this paper. Data...
An important question is how to determine if a person is exhibiting suicidal tendencies in behavior, speech, or writing. This paper demonstrates a method of analyzing written material to determine whether or not a person is suicidal. The method involves an analysis of word frequencies that are used in a fuzzy cognitive map. The fuzzy cognitive map determines if there are suicidal tendencies. The method...
Research on 3D GIS simulation system of pit mining surface subsidence is not merely simple extension of 2D geographic information system, but from spatial model analysis to spatial database structure until visualization of 3D data. The research and application of this system have important and positive significance on evaluation of mining surface subsidence damage, control of mine geological disaster,...
The paper firstly briefly introduces the remote sensing investigation in vegetation and wetlands, preprocessing procedure of remote sensing image in the natural resources monitoring, and the commonly-used extraction methods of wetland vegetation information. In addition, the paper discusses the research status of the remote sensing inversion model, and elaborates on the three commonly-used models:...
In this paper we focus on the task of clustering in data mining applications. We introduce a formulation of a new clustering algorithm by modelling the system as a cooperative game in strategic form using game theory. The goal is to partition a dataset into k clusters. Our approach has been applied to both simulated and real-world datasets. In addition, we have implemented functions based on the calculation...
The research system of data mining and analysis for statistics in Qinghai Province is a manifest analysis, inquiry, and service system built up upon the existing network of the provincial statistics bureau with the increasing national, local and social concern on statistics and the rapid expansion of the statistic information and aiming at meeting the needs of governments for statistic information...
The present work consists in obtaining Cellular Automata models from simulation trajectories of protein folding, we describe the characteristics of the obtained models and discusses the advantages gained from the identification of rules based only on local interactions from a contact map representation. We detail experiments on the protein HP35 — NleNle which demonstrates the validity of the proposed...
Along with the development of the global economy, the importance of the CRM(customer relationship management) and information technology has been learned by more and more enterprises. With the rapid development of the data mining technology, its usage in the enterprise' CRM will be more in-depth. The enterprise can find potential new customers and keep good relationships with old customers with the...
With development of the constructed wetland technology and extending of eco-city concept, it is popular that the sustainable evaluation and land reclamation, and is difficult to quantitative assessment in wetland ecological information of subsidence area in mining field. This paper discusses the need of sustainable evaluation and land reclamation and mainly introduces the constructed wetland and ecological...
Attracting more students into science and engineering disciplines concerned many researchers for decades. Literature used traditional statistical methods and qualitative techniques to identify factors that affect student retention up most and predict their persistence. In this paper we developed two neural network models using a feed-forward backpropagation network to predict retention for students...
Complex systems can be represented as weighted digraphs. Cycles play an important role in complex systems because they define relationships consisting of unique groupings of nodes. A grouping of connected nodes contains rich contextual meaning because of the relationships defined by its connecting edges. Cycle bases are a description of the set of all independent cycles within a graph. The work herein...
In this study, the tight coupling seamlessly links Arc Objects and the data mining models, automating the transfer of parameters and data, and graphically displaying the analysis results. There are two primary advantages for the integration of data mining models and Arc Objects in this paper: (1) Spatial representation is critical to environmental problem solving, but GIS currently lack the predictive...
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.