theoretical review of ‘mining pit lakes’ indicates that like natural lakes such lakes display a huge diversity. they are typically in a non-equilibrium state with respect to their surroundings. hence, at the decommissioning phase of mining operation a detailed technical study are required on different aspects of such created water bodies considering its morphometry, geology, hydrology, water qu...

The MIDAS project began at 2006 as collaboration between Endesa, Sadiel and the University of Seville. The objective of the MIDAS project is the detection of Non-Technical Losses (NTLs) on power utilities. The NTLs represent the non-billed energy due to faults or illegal manipulations in clients’ facilities. Initially, research lines study the application of techniques of data mining and neural...

After many discussions amongst friends and colleagues about the opportunities of mining crypto currencies, one could start wondering what kind of corporate resources can be utilized in order to do crypto currency mining, and how a company can protect against this kind of threat. Some will say that this is not a real threat for a company; however, some believe differently, which is explained in ...

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...

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...

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...

Distributed data mining in the CRM is to learn available knowledge from the customer relationship so as to instruct the strategic behavior. In order to resolve the CRM in distributed data mining, this paper proposes the architecture of distributed data mining for CRM, and then utilizes the support vector machine tool to separate the customs into several classes and manage them. In the end, the ...

Churning is the movement of customers from a company to another. For any company, being able to predict with some time which of their customers will churn is essential to take actions in order to retain them, and for this reason most sectors invest substantial effort in techniques for (semi)automatically predicting churning, and data mining and machine learning are among the techniques successf...