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Dominant relationship concept has recently used for answering preference queries. Here the concept of dominant relationship has been extended for the purpose of doing business analysis. New type of analysis presented here which is called as dominant relationship analysis. This kind of analysis can help product manufacturers to design new products, compare company's products with competitor company's...
Corporate finance is the backbone of the development, its classical classification is huge and complex. People tend to have more impact on the factors that affect the analysis.,it is subjective and not comprehensive. In this paper, the financial system of the China Company to carry out the logical structure of the index,in view of the complex problem of coupling factors, the algorithm of nonlinear...
Social media analytics play a major role in e-commerce for extracting the useful information of a product or service. Opinion mining has become the key process of social media analytics. Twitter is a big online social activity platform where millions of people share their opinions. In this paper two clustering techniques, k-means and DBSCAN, are applied to an annotated Twitter dataset in order to...
Look for telecommunications fraud in masses of call records is more difficult than finding a needle in a haystack. Even though fraud techniques are constantly evolving and whenever a detection method become know, fraudsters will adapt their strategies and try others. Therefore we propose a novel approach which make use of both threshold rules engine and usage pattern history for fraud detection in...
The issue of formation of requirements to functions of control systems for the drive sucker rod pump units is considered for the purpose of realization of functions of “an intellectual well”. The main operating modes of such installations are given; their meaning is described. Functions of control systems of installations with the drive sucker rod pump are given, communications of these functions...
The article focuses on the specifics of the development and implementation of a dual system consisting of a subsystem for designing production units' power supply and a subsystem of assessing knowledge of coal mine electrical services employees. The paper identifies quantitative and qualitative changes of recent years at the companies engaged in underground coal mining. Furthermore, the paper provides...
Accounting is one of the main modules on enterprise resource planning, which monitors journal, chart of account, and create financial statements. Chart of account is a chart which controls all transactions in the enterprise. Onchart of accounts, there are some parent-child relation between some accounts. Tree traversal algorithm is proposed on this paper to make steps on creating a chart of accounts...
Inspired by the coming of data-driven innovation and economy, an increasing number of companies over the world are eager to analyze their data for creating useful knowledge, while graph data have become more and more crucial in many areas, such as social networks and medical/chemical applications. Different from conventional transaction data, finding the frequent patterns in a graph is more challenging...
Consumer-oriented companies can no longer afford to make decisions or measure results based on gut feeling. They must be able to take advantage of all available data. Advanced analytics makes it possible to capture value and benefit from big data, however, this isn't a given. Companies must hire, develop, and retain skilled analysts, who can distinguish relevant from irrelevant data, draw the right...
The data mining on web is difficult for online analytic processing (OLAP) with BIG DATA. The data mining is made simple by approximating the databases of BIG DATA for knowledge discovery process particularly MapReducing. The approximate information is fuzzy rather than probability. In this paper, fuzzy web data mining is discussed for BIG DATA for association rules. The query processing is discussed...
Confronted with flerce competition, an increasing number of telecommunication companies in China realize that they can increase proflts by reducing the rate of customer churn rather than attracting the same number of new customers. Recently, the availability of big data has increased, which has stimulated the development of data mining techniques. Identifying methods by which to maximize proflts is...
Users often fail to find the right keywords to precisely describe their queries in the information seeking process. Techniques such as user intention predictions and personalized recommendations are designed to help the users figure out how to formalize their queries. In this work, we aim to help users identify their search targets using a new approach called Interactive User Intention Understanding...
The Stock market process is full of uncertainty and is affected by many factors. Hence the Stock market prediction is one of the important exertions in finance and business. There are two types of analysis possible for prediction, technical and fundamental. In this paper both technical and fundamental analysis are considered. Technical analysis is done using historical data of stock prices by applying...
We present a framework for the analysis of corporate governance problems using network science and graph algorithms on ownership networks. In such networks, nodes model companies/shareholders and edges model shares owned. Inspired by the widespread pyramidal organization of corporate groups of companies, we model ownership networks as layered graphs, and exploit the layered structure to design feasible...
The gap between scheduling theory and practice has been long known, recognized and studied. More often than not, elaborated scheduling models and procedures are proven to be extremely effective in controlled and synthetic laboratory problems but rarely applied in practical manufacturing scheduling. Real scheduling problems are varied, big and rich in the number of constraints and special characteristics.
In the process of Research and Development (R&D), the staff in Information Technology (IT) companies forms a collaboration system. Task assignment is very important in the process of R&D. Firstly, this paper formalizes the staff and task assignment problems (STAPs) based on the Environment, Class, Agent, Role, Group and Object (E-CARGO) model. Next, we propose an algorithm for the STAPs. Then,...
Physical distribution is a critical activity for companies because it defines successful customer service. This article discusses a case study of a liquefied gas distributor with respect to improving customer service and reducing delivery costs. The proposed method for the delivery process consists of two steps: First, the customers for each day are distributed to the delivery trucks by using the...
With the continuous and rapid development of online questionnaire survey, the low response rate has plagued operating companies. To solve this problem, this paper proposed an effective user invitation model by our improved clustering algorithm, which analyzed large-scale historical user behavior characteristic data, including users' quality data, users' preferential data and users' similarity data...
The importance of skyline and dominance relationship analysis has been well recognized in multicriteria decision-making applications. In this paper, we propose the problem of "Finding Skyline with Customer Preferences and Cost Constraints", which utilizes the concept of dominance for business analysis from a microeconomic perspective. Our problem aims to discover the dominance relationship...
This paper presents results of the analysis of a tourism information web-site (AmFostAcolo.ro) by using Complex Networks (CN) methods. The work accomplished here complements a previous paper, where we discussed data extraction and modelling into a complex network. Properties of the resulted network, communities and vertices are looked upon, in order to extract useful information and detect social...
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