Abstract. The central problems w.r.t. interoperability and data integration issues in the Semantic Web are schema and ontology matching approaches. Today it takes an expert to dete...
Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. Wit...
Yiqun Liu, Yupeng Fu, Min Zhang, Shaoping Ma, Liyu...
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
In order to characterize and improve software architecture visualization practice, the paper derives and constructs a qualitative framework, with seven key areas and 31 features, f...