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 approach to the solution of the technical diagnostics problem of a transport data transmission network (TDTN) is presented, which allows to work with different groups of diagnostic data depending on the requirements by the time the task is completed, which in turn will allow reducing the average time of realization of the network diagnosis process; takes into account the physical and logical structures...
With the popularity of social networking services (SNSs) and the increase of users, individuals' social roles in a social network have become more and more important in terms of the recommendation of personalized services and the collective decision-making process. Usually, in an SNS system, active users may not represent the major opinions among the whole users, and most of the users' opinions may...
Big data is cutting-edge technology extensively applied to enterprise management based on cloud computing, and it brings a brand-new perspective for enterprise crisis management. Using big data technology to collect, screen, analyze and apply data generated by enterprise crisis incidents and formulating and implementing data-driven enterprise crisis management strategies help to elevate level of enterprise...
With extensive application of MIS, MRP, ERP and other advanced enterprise management systems in various enterprises, informatization level and management level of enterprises have been continuously improved. Faced with increasingly fierce market competition, more and more enterprises recognize that acquisition, analysis, screening and application of data play significant roles in enterprise decision-making...
Mobile Internet technology is more and more into people's lives. Big Data for the commercial, economic, service, and other areas has brought the earth-shaking change. Over the next 10 years will be a Big Data to lead the age of wisdom, both opportunities and challenges. The data in a certain sense has become a new economic asset class. How to use Big Data to create more value will be a new task faced...
Sharing economy becomes an emerging issue in urban life. It is not a new phenomenon but an assembling of existing techniques to meet specific demands of users. It also points out a better way to implicitly collect users’ contexts and to understand users than the conventional one that requires much user involvement (e.g., tedious inputs). A universal model, for this purpose, that supports dynamic analysis...
In the current scenario, data is considered to be the biggest assets. One who has maximum relevant data is considered to be rich in the information industry. But only the collection of data is not enough, it needs to be analyzed. This huge amount of data which is termed ass Big Data cannot be analyzed by traditional tools and techniques, rather it requires more advanced Techniques which can make data...
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...
Big social data is becoming an important part of human decision making around the world. With the high stakes of decisions based on technical systems, it is important to evaluate the role of researchers in shaping that shared future. I present the results of a survey of 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining participants who performed big social data...
Education helps people develop as individuals. It not only helps build social skills but also enhances the problem solving and decision making skills of individuals. With the growing number of schools, colleges and universities around the globe, education now has taken new dimension. The main focus of higher Educational Institutes is to improve the overall quality and effectiveness of education. Predicting...
Data mining techniques have been found useful in understanding and enhancing student performance as well as decision making related to teaching and learning in HEIs. Literature review enabled the choice of time to degree and cumulative grade point average (CGPA) as examples of student performance factors for investigation. Student features that could be extracted using SQL query from student dataset...
Independently of the specific task to be enacted in a smart space, it is always crucial to mine a set of models representing environmental dynamics and, noteworthy, user habits, desires. Many different formalisms have been proposed to model human habits, but the vast majority of them are either difficult to read, evaluate or their definition requires a huge amount of work from either experts or users...
The paper presents the structure of decision support system for electrical grid equipment operation on the base of its state assessment based on aggregated available data concerning object of research by means of neuro fuzzy inference. Technical state assessment of both separate elements, notably electrical equipment (based on fuzzy logics methods) and integrated consolidated objects (by means of...
This paper attempts to construct an analysis model of city price, by combining the big data system with the information of city price, so as to provide the reference for the government to implement the policy of the accurate price control. This paper considers that the analysis system of city price should include decision-making layer, supporting layer and showing layer on the conceptual level, and...
The objective of this paper is to present a review literature on what are impacts of Data Mining (DM) in Business Intelligence (BI). The paper highlights various features of DM. It involves three steps: explorations, pattern identification and deployment. BI is the hot topic among all industries aiming for relevance. BI emphasizes on detail integration and or organizing of data. DM and BI work together...
This study addressed the literature gap, identified by other researchers, that there are too few examples of applied empirical open big data analytics. Using correspondence analysis as a big data analytical technique, this study demonstrates how qualitative big data type could be analyzed to identify hidden factor relationships that may assist strategic decision making. We use a 64MB open meta big...
In recent years, China's ports continuously improve the level of information, with remarkable achievements in improving service processes, improving operational efficiency, logistics, port services has become more automated and intelligent. But with the increasingly fierce competition in the port business, simply increased automation and operational efficiency can't meet the demand for port development,...
The information storm brought about by Big Data is changing our lives, work and thinking, and it's also bringing huge change to the survival environment of enterprises. Decision-making method of enterprises shifts from traditional subjective way to data-driven decision-making methods, precision marketing is becoming the new enterprise marketing tools, and social networks enhance customer satisfaction...
Knowledge is stored in an enterprise in various forms ranging from unstructured operational data, legal documents to structured information like programs, as well as relational data stored in databases to semi-structured information stored in xml files. All these information if viewed from a holistic standpoint can help an enterprise to understand and reflect upon itself and thereby make knowledgeable...
Regression analysis is one of the components of data mining techniques. Various regression algorithms have been proposed to mine the data efficiently and to propose a suitable business model. Every algorithm caters to a particular need and not necessarily produces the best fit futuristic model for all types of data. On the other hand, todays Web is expanding rapidly and affecting all aspects of our...
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.