The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
Data mining techniques, in spite of their benefit in a wide range of applications have also raised threat to privacy and data security. This paper addresses the problem of preservi...
S. Srinivasa Rao 0002, K. V. S. V. N. Raju, P. Kus...
With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
There is an extensive literature on data mining techniques, including several applications of these techniques in the e-commerce setting. However, all previous approaches require t...
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
This paper presents an overview of data mining techniques in the context of of the deductiveinductive cycle model. The claim made in this paper is that a combination of both of th...
Bob Kero, Lucian Russell, Shalom Tsur, Wei-Min She...