In this paper, we present PRICES, an efficient algorithm for mining association rules, which first identifies all large itemsets and then generates association rules. Our approach ...
A parallel rule-extracting algorithm based on the improved discernibility matrix [2] is proposed, by this way, a large amount of raw data can be divided into some small portions to...
During software evolution, programmers add new functionalities and release new versions of software. This complicated work involves not only program development but also learning ...
An empirical study has been conducted investigating the relationship between the performance of a generative language model in terms of perplexity and the corresponding informatio...
Leif Azzopardi, Mark Girolami, Keith van Rijsberge...
This paper takes the view that to be considered autonomous, a software agent must possess the means by which to manage its own motivations and so define new goals. Using the motiva...