This paper deals with social network analysis targeted to local structure analysis of company network in order to get view of local structure characteristics and patterns in such kind of network. This paper describes an original approach, which has been experimentally verified on Slovak company network. We first aimed to prove presence of significant local structures in Slovak company network a...

Investment in the related stocks in share market plays vital role for investors. Variation in stock price is the barometer of growth of companies/sectors. Association Rule mining is one of the fundamental research topics in data mining and knowledge discovery that identifies interesting relationships between itemsets and predicted the associative and correlative behaviour for new data. In the p...

Among various types of cities, mining cities have special features including a high concentration of industrial activities associated with the exploration, extraction, refining, processing and export of groundwater resources, the risk of reduction and termination of non-renewable resources, high degree of environmental pollution, high production of domestic and industrial waste and social issue...

Organizations use data mining to improve their customer relationship management processes. Data mining is a new and well-known technique, which can be used to extract hidden knowledge and information about customers’ behaviors. In this paper, a model is proposed to enhance the premium calculation policies in an automobile insurance company. This method is based on customer clustering. K-means a...

One of the important aspects of market and competitive intelligence is the observation and analysis of a partner, customer or competitor’s relations with other companies. Using Web-based sources such as press releases, corporate Web sites or news articles and text mining technologies such as Named Entity Recognition, it is possible to automatically extract company relations out of Web content a...

Ground water and surface water create a range of problems in lignite mining utilizing surface mining methods. In order to create a safe and economic mining environment, it is essential to carry out mining after dewatering the rock mass surrounding the lignite mines by advance dewatering techniques. This paper briefly describes the ground water regimes including pressure gradients associated wit...

In the process of data mining, techniques used, and results gathered, became ethically or even legally questionable due to the concern of the violation of individuals’ privacy when specific information is obtained, manipulated, and disseminated by other entities without an individual’s knowledge or consent. In other words, it is not the concern of what data is being mined, but more so regarding...

AbsfracfData mining has a lot of e-Commerce applications. The key problem is how to tind useful hidden patterns for better business applications. For these problems, granular fuzzy Web intelligence techniques are used to implement the granular fuzzy Web data mining system for available historical data of the credit company customers. Fuzzy computing and granular computing are used to design the...