Today, multielectrode arrays (MEAs) capture neuronal spike streams in real time, thus providing dynamic perspectives into brain function. Mining such spike streams from these MEAs is critical toward understanding the firing patterns of neurons and gaining insight into the underlying cellular activity. However, the acquisition rate of neuronal data places a tremendous computational burden on the...

The costing and data mining of logistics costs will become increasingly important to all firms seeking competitive advantages. Activity Based Costing (ABC) is considered as the optimized and most promising method of costing and controlling logistics cost now, and logistics cost data mining based on ABC is playing a very important role in business management. The paper firstly analyses the princ...

Large scale distributed computing infrastructure captures the use of high number of nodes, poor communication performance and continously varying resources that are not available at any time. In this paper, we focus on the different tools available for mining traces of the activities of such aforementioned architecture. In this paper we propose new techniques for fast management of a frequent i...

The paper focuses on BI techniques and especially data mining algorithms that can support and improve the decision making process, with applications within the financial sector. We consider the data mining techniques to be more efficient and thus we applied several techniques, supervised and unsupervised learning algorithms The case study in which these algorithms have been implemented regards ...

In this paper we propose one possible way to preprocess data according to Activity theory. Such an approach is particularly interesting in Educational Data Mining.

Multi-criteria decision-making methods are widely used to solve various problems in the industry, as well support planning and designing industrial processes. Mining is a very complex responsible activity, so when making major decision, it necessary take into account several parameters perform their detailed analysis. Due importance of proper decision making, multi-criteria optimization have wi...

With the explosive growth of data available on the Internet, a recent area of investigation called Web Mining has arise. In this paper, we will study general aspects of this area, principally the process of Web Usage Mining where log files are analyzed. These files register the activity of the user when interact with the Web. In the Web Usage Mining, different techniques of mining to discover u...

The costing and data mining of logistics costs will become increasingly important to all firms seeking competitive advantages. Activity Based Costing (ABC) is considered as the optimized and most promising method of costing and controlling logistics cost now, and logistics cost data mining based on ABC is playing a very important role in business management. The paper firstly analyses the costi...

Copper mining is one of the largest economic activities in Zambia, comprising close to ten percent of GDP. Between 2003 and 2008, the price of copper increased by over 400 percent. In response, copper production in Zambia increased by 70 percent and employment in copper mining increased by nearly 200 percent. This paper examines the effect of this economic shock on sexual behavior and the sprea...