Autocompletion is a widely deployed facility in systems that require user input. Having the system complete a partially typed "word" can save user time and effort. In th...
This paper addresses the efficient processing of similarity queries in metric spaces, where data is horizontally distributed across a P2P network. The proposed approach does not r...
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Databases are increasingly being used to store information covered by heterogeneous policies, which require support for access control with great flexibility. This has led to incr...
Given a set of multidimensional data points, skyline query retrieves a set of data points that are not dominated by any other points. This query is useful for multi-preference ana...
Ken C. K. Lee, Baihua Zheng, Huajing Li, Wang-Chie...
In an outsourced data framework, we introduce and demonstrate mechanisms for securely storing a set of data items (documents) on an un-trusted server, while allowing for subsequen...
Radu Sion, Sumeet Bajaj, Bogdan Carbunar, Stefan K...
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
Data fusion is the final step of a typical data integration process, after schematic conflicts have been overcome and after duplicates have been correctly identified. We present t...