BACKGROUND The widespread availability of new computational methods and tools for data analysis and predictive modeling requires medical informatics researchers and practitioners to systematically select the most appropriate strategy to cope with clinical prediction problems. In particular, the collection of methods known as 'data mining' offers methodological and technical solutions to deal wi...

Agent mining, namely the interaction and integration of multi-agent and data mining, has emerged as a very promising research area. While many mutual issues exist in both multi-agent and data mining areas, most of them can be described in terms of or related to ubiquitous intelligence. It is certainly very important to define, specify, represent, analyze and utilize ubiquitous intelligence in a...

Text mining is a very exciting research area as it tries to discover knowledge from unstructured texts. These texts can be found on a computer desktop, intranets and the internet. The aim of this paper is to give an overview of text mining in the contexts of its techniques, application domains and the most challenging issue. The focus is given on fundamentals methods of text mining which includ...

-Enormous numbers of intelligent data mining techniques are in usage to discover hidden patterns. Especially Association rule mining has a high impact on business improvement. However mining association rules at multiplelevel may lead to discovery of more specific and concrete knowledge from data. Privacy is needed in order to withstand the business competence. Now-a-days privacy preserving dat...

Merged mining refers to the concept of mining more than one cryptocurrency without necessitating additional proof-of-work effort. Although merged mining has been adopted by a number of cryptocurrencies already, to this date little is known about the effects and implications. We shed light on this topic area by performing a comprehensive analysis of merged mining in practice. As part of this ana...

In any cave mining method a horizontal slice of rock is mined out at the base of the block to be caved by drilling and blasting. Once a sufficiently large area has been mined continuous caving initiates and propagates through the block. High stress levels are set up in the abutment zone around the perimeter of the caving area that can affect tunnel stability to a distance of 20 metres from the ...

Concept maps, visual representations of knowledge, are used in an educational context as a way to represent students’ knowledge, and identify mental models of students; however there is a limitation of using concept mapping due to its difficulty to evaluate the concept maps. A concept map has a complex structure which is composed of concepts and their relationships that often have a weighted di...

Image mining is the thrust area in data mining which can be used to extract latent sequential data from the generic image series. Pixel measures or objects can be extracted effectively with high degree of precision if it is identical with the stored pattern of data sets in a right mode. The other area in the Image mining system is the ContentBased Image Retrieval (CBIR).Experiments with colour ...

Recently, the inference of biological networks has been studied whose vertices represent proteins and recurrent sequential patterns – called domain types – thereof; cf., for example, [1]. What makes this an outstanding research object from the point of view of data mining is the explorative analysis of large networks whose emergence is simulated in order to get insights into the dynamics of the...

The results of knowledge discovery in databases could vary depending on the data mining method. There are several ways to select the most appropriate data mining method dynamically. One proposed method clusters the whole domain area into “competence areas” of the methods. A metamethod is then used to decide which data mining method should be used with each database instance. However, when knowl...