quality of service (QoS) support is not guaranteed. In this paper, we propose an adaptive data mining approach that provides …

available data. Another solution that can be successfully used is the implementation of data mining techniques within the …

the acquisition of second hand cars. This will be achieved through analysis of existing data on the auto market using data … mining techniques. The paper has determined the price of a car using linear regression and the of score each type of car …

artefacts, making them well-suited to data mining. Recent years have seen an increase in the use of data mining techniques on … brief survey of current uses, we offer insight into how data mining can make a significant contribution to the success of …

This research demonstrates the application of multiple data mining techniques to test theories of the macro …-method data mining approach can be used to test competing theories in a discipline by analysing large, comprehensive datasets that … contexts in 185 countries worldwide between the years 1970 and 2004. The theories are assessed using the iterative expert data …

power properties were utilised. To guard against data mining, a bootstrap procedure was employed for calculating the … long run horizons. When accounting for data mining, the maximal out-of-sample test statistics become insignificant from 6 …-months onward suggesting that the evidence of the out-of-sample predictability at longer horizons is due to data mining. The …