Scalable Association Rule Mining with Predicates on Semantic Representations of Data

Conference · Thu Jan 01 00:00:00 EST 2015

OSTI ID:1236594

Tsay, Li-Shiang ^[1]; Sukumar, Sreenivas R ^[1]; Roberts, Larry W ^[1]

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1. ORNL

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1236594
• Resource Relation: Conference: Technology and Applications of Artificial Intelligence, Tainan, Taiwan, 20151120, 20150822
• Country of Publication: United States
• Language: English