We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
In many modern data management settings, data is queried from a central node or nodes, but is stored at remote sources. In such a setting it is common to perform "pushstyle&qu...
Abstract. Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying onto...
Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. H...
This paper investigates the problem of processing multiple continuous queries over RFID streaming data in RFID middleware. RFID middleware collects and filters RFID sensing data wh...