In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
— Although data prefetching algorithms have been extensively studied for years, there is no counterpart research done for metadata access performance. Existing data prefetching a...
Peng Gu, Jun Wang, Yifeng Zhu, Hong Jiang, Pengju ...
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...