In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
—As software projects continue to grow in scale, being able to maximize the work that developers can carry out in parallel as a set of concurrent development tasks, without incur...
Sunny Wong, Yuanfang Cai, Giuseppe Valetto, Georgi...
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
The transformation and manipulation of XML is an increasingly important research topic. This paper examines a number of issues with regard to languages for transforming and reacti...