Publication Type
Conference Paper
Publication Date
Conference Name
Technology and Applications of Artificial Intelligence
Conference Location
Tainan, Taiwan
Conference Date
Abstract
Finding semantic associations from a vast amount of heterogeneous data is an important and useful task in various applications. We present a framework to extract semantic association patterns directly from a very large graph dataset without the extra step of converting graph data into transaction data.