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.
Millions of users create user profiles on social media. Changes made to an attribute in the user profiles on social media generate a huge volume of data representing a data stream. A framework has been proposed to analyze such data streams and cluster the attribute values related to each other.
As companies generate and handle increasingly large amounts of data along with the Big Data era, several model of data lifecycle have been proposed to deal with this situation. The analysis, the management and the use of data becomes more complicated or almost impossible in some cases for the companies. To transform these data to a knowledge, the choice of the adequate lifecycle that matches with...
In this paper, a new model based on Data Envelopment Analysis (DEA) and Inverse Data Envelopment Analysis (IDEA) is presented for estimating the effect of electricity on the output of industrial companies. To this end, the effect of electricity deviation, which serves as one input that can influence a manufacturing company's final product, is evaluated. Intuitively, it is known that a direct relationship...
We present a novel approach for detecting malicious user activity in databases. Specifically, we propose a new machine learning algorithm for detecting attacks such as a stolen user account or illegal use by a user. Our algorithm relies on two main components that examine the consistency of a user's activity and compare it with activity patterns learned from past access. The first component tests...
In the big data era, it is vital to allocate the vast amount of data to various users efficiently. However, the data agents (data owners, collectors and users) are selfish and seek to maximize their own utilities instead of the overall system efficiency. In this paper, the data trading problem of a data market with multiple data owners, collectors and users is formulated and an iterative auction mechanism...
MapReduce has emerged as a popular programming model in the field of data-intensive computing. This is due to its simplistic design, which provides ease of use for programmers, and its framework implementations such as Hadoop, which have been adopted by large business and technology companies. One significant issue in practical MapReduce applications is data skew: the imbalance in the amount of data...
In today's competitive environment, having a customer oriented approach is inevitable for organizations. At this point, in order to achieve customer satisfaction, customer relationship management (CRM) targets to provide products and services which meet customer expectation. Data which is collected about customers is an important source to determine their needs. Therefore, analysis is made to determine...
One of the biggest challenges that higher learning institutions face today is to improve the placement performance of students. The placement prediction is more complex when the complexity of educational entities increase. Educational institutes look for more efficient technology that assist better management and support decision making procedures or assist them to set new strategies. One of the effective...
Customer segmentation provides an effective and efficient way to obtain insights into customer characteristics and behavioral preferences. To enhance customer relationship management and focus on a dynamically changing marketplace, the authors built a two-layer clustering model for mobile telecom customer analysis. The first layer identifies the cluster by domain in accordance with the contribution...
This article focuses on the business analytics and data analysis by application of the advanced tools, technologies and methods of Business Intelligence (BI). These tools enable companies to gain competitive advantage and improve their processes. We had data from the biggest steel factory in Slovakia. In papers [1], [2] we worked with BI solutions and there was request that all reports have to be...
This paper focuses on use of Matlab for data mining. There is wide range of data mining software where free or cheaper solutions offer similar possibilities. We wanted to try Matlab for these purposes. Our data consists of parameters, which describes cloud usage at IT company that offers cloud services. We used phases from the CRISP-DM methodology in our work. We built clustering and classification...
With the deepening of market system reform and the continuous development of the enterprise's scale, many trading companies began to realize the necessity of information construction. SSH framework integration technology under the framework of J2EE can adapt well to the development needs of the trading company itself, comparing with the traditional development framework, which has a lot of advantages...
On account of great significance of financial distress prediction for corporations, it is essential to construct an effective prediction model for managers and investors. Traditional financial distress prediction methods design static models using samples within a period of time, but the static models are insensitive to changes, such as concept drift in financial distress. This paper proposed a dynamic...
Enterprise Resource Planning (ERP) system provides a facility for the integration of business functions within the organisation. Previous studies proved that the potential benefits that can be obtained from ERP system had not been achieved. ERP system impacts at the individual level such as improved control becomes one of the success dimensions of ERP implementation. The purpose of this study is to...
The Consumer Financial Protection Bureau was established in USA for enabling the USA consumers to report customer support and complaint related information regarding their financial issues with the US government. The complaint data is freely available for analysis and tracking of how efficiently and effectively the financial institutes handle the complaints lodged against them. Each complaint consists...
Travel time prediction is important for freight transportation companies. Accurate travel time prediction can help these companies make better planning and task scheduling. For several reasons, most companies are not able to obtain traffic flow data from traffic management authorities, but a large amount of trajectory data were collected everyday which has not been fully utilised. In this study, we...
This paper tests whether accurate sales forecasts for Nike are possible from Facebook data and how events related to Nike affect the activity on Nike's Facebook pages. The paper draws from the AIDA sales framework (Awareness, Interest, Desire, and Action) from the domain of marketing and employs the method of social set analysis from the domain of computational social science to model sales from Big...
Normally exports of goods and products are transactions encouraged by the governments of countries. Typically these incentives are promoted by tax exemptions or lower tax collections. However, exports fraud may occur with objectives not related to tax evasion, for example money laundering. This article presents the results obtained in implementing the unsupervised Deep Learning model to classify Brazilian...
On an average 9 out of 10 startups fail(industry standard). Several reasons are responsible for the failure of a startup including bad management, lack of funds, etc. This work aims to create a predictive model for startups based on many key things involved at various stages in the life of a startup. It is highly desirable to increase the success rate of startups and not much work have been done to...
Social media captures voice of customers at a rapid pace. Consumer perception of a brand is crucial to its success. Current techniques for measuring brand perception using lengthy surveys of handpicked users in person, by mail, phone or online are time consuming and increasingly inadequate. A more effective technique to measure brand perception is to interpret customer voice directly from social media...
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.