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 decision-making process in the educational context has been widely investigated as an effective mechanism to support educators and administrators in distance and blended learning. Pattern discovery in data produced by Learning Management Systems (LMS) elicits important information about the educational process, especially when considering correlations between stakeholders interacting in different...
Recent research on Big Data proposed and evaluated a number of advanced techniques to gain meaningful information from the complex and large volume of data available on the World Wide Web. To achieve accurate text analysis, a process is usually initiated with a Text Classification (TC) method. Reviewing the very recent literature in this area shows that most studies are focused on English (and other...
The article considers the experience of OLAP-technology in solving optimization problems of the city transport system. The authors proposed a conceptual decision support scheme to optimize the transport-road network parameters. The developed system provides the possibility of intelligent analysis and decision-making based on OLAP-technologies and simulation models.
Internet is a rich source of information, but it consists of miscellaneous data fragments. Analytical “surfing” on World Wide Web opens extraordinary prospects for attain and maintain competitive advantage of enterprises and for scientific researches. Exploratory OLAP is one of the main agenda of analytical processing of heterogeneous data sources. The author proposes an original approach to exploratory...
The Sentiment discovery from data sources of social media is a challenging task. Since the data is available not only in the structured format but also exists in un structured and semi structured as users are expressing freely their opinions in their desired style. Opinion mining is an important research area for many domains. It has most feasible approaches for business Intelligance. In this review...
Educational Data mining is a varied subject and unwary research field which are supposed taken care of the tremendous data which are arising in the educational field. The exploring data is formed as a data set and then various computational techniques are applied to derive an interesting pattern out of it with which further analysis, decisions can be done for the re-modeling of learning pattern, enhancement...
This paper presents a data mining technique for qualitative analysis of Hodgkin-Huxley model of cell excitability. Such problem cannot be solved analytically. Therefore we apply Monte-Carlo techniques for the generation of model parameters, and use data mining algorithm for classification of learning tuples obtained. As a result we attain a decision tree capable of classifying the excitability depending...
Currently, malware variants are one of the major challenges in malware detection. They have a stronger sense of purpose and pertinence, therefore they will not randomly infect an ordinary user's computer, which makes the discrimination process difficult. Moreover, the explosive growth of malware variants makes it more difficult to detect malware in a timely manner. Given this situation, this paper...
ETL systems are responsible for populating data warehouses' storage structures with historical subject-oriented business data. To do that in the most appropriated manner ETL systems require special computational means, involving frequently the manipulation of large amounts of data that come usually from disparate information sources. Planning and designing ETL systems are very complex tasks, where...
State Grid Jibei Electric Power Company (Jibei) has accumulated a large number of operation data through the maintenance of the equipment, devices in power grids. It is of great significance to study this data and extract the useful information by the data mining and statistics techniques. While the theories and methods of Naive Bayes have been widely studied, this paper utilizes such technique to...
Discrimination discovery and prevention has received intensive attention recently. Discrimination generally refers to an unjustified distinction of individuals based on their membership, or perceived membership, in a certain group, and often occurs when the group is treated less favorably than others. However, existing discrimination discovery and prevention approaches are often limited to examining...
Despite all that has been done to promote Road Safety in India so far, there are always regions that fall prey to the vulnerabilities that linger on in every corner. The heterogeneity of these vulnerability-inducing causes leads to the need for an effective analysis so as to subdue the alarming figures by a significant amount. The objective of this paper is to have data mining to come to aid to create...
This paper is part of a doctoral thesis that aims to propose an evaluation model, for later application, using Educational Data Mining techniques to analyze the responses of students obtained during an Institutional Teaching Evaluation. Therefore, the authors propose an Institutional Teaching Evaluation model that applies, among others, the Sentiment Analysis to identify which teaching practices are...
Air traffic management (ATM) initiatives are developed and implemented to mitigate delays caused by uncertainty in weather and demand at an airport. ATM decisions are made by traffic flow management specialists, based on their judgment and experience. Historical data on airport operations can be used to assist decision-making by intelligently augmenting controller experience with a more systematic...
In terms of the retail commodity sale forecast, people did more in particular aspect with commodity's single sale attribute such as the sale volume, the sale money, the season factor, but all has not considered the most important factor-profit, the profit is the key factor of retail enterprises winning the survival and development. However, such a one-sided analysis is not conducive to assist the...
Through the processes set out by Learning Analytics, this paper describes a decision making model which supports the managers of higher education institutions at the moment of making academic decisions. In the analysis and requirements phase, the importance of creating and categorizing indicators is presented in detail, thereby facilitating the finding of hidden patterns in the educational information...
This research work presents the use of Latent Dirchlet Allocation (LDA), a generative topic modeling technique to extract latent patterns in Chinese Traditional Medical (CTM) diagnose and treatment data. It can help to capture the relationship between symptom and diseases. The purpose of the research is to acquire proficient medical knowledge by computer which can aid doctors to determine diagnosis...
LiDAR technology is playing a more and more important role in power line patrol, and the working model is the key segment in this patrol. This paper objectively investigate the influence of point cloud density for power patrol by man-machine carrying laser radar equipment, and then recognize and extract the power line information. Firstly, this paper obtains the original data of power line by three...
This paper describes a business-oriented analysis environment facilitating analyses of coherent data from Data Warehouses (DWs) and Linked Open Data (LOD) datasets. Specifically, we present a multidimensional modeling solution, named Unified Cube, which provides a single, comprehensive representation of data from multiple sources. Unified Cubes include both concepts close to business terms and user-friendly...
Unstructured textual data has increased to unprecedented levels with the rapid spread of user generated content via social media. Handling large volumes of unstructured text data is a challenging task that is increasingly becoming needed in a variety of situations. Reading and extracting important information from large collections of text manually is impractical and often impossible. This research...
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.