The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
A data warehouse is designed to consolidate and maintain all attributes that are relevant for the analysis processes. Due to the rapid increase in the size of the modern operation...
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...