Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
The relation between answer set programming (ASP) and propositional satisfiability (SAT) is at the center of many research papers, partly because of the tremendous performance boo...
- To a large extent, governments and organizations worldwide have recognized that either the broader information communication technologies (ICTs) sector or specifically with respe...
Yun Tang, Lifeng Sun, Hai Qin, Shiqiang Yang, Yuzh...
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Extensibility and maintainability of software becomes more an issue as the complexity of the software development process rises. Design patterns in the sense of Gamma et al. [3] a...