Intelligence analysts are flooded with massive amounts of data from a multitude of sources and in many formats. From this raw data they attempt to gain insight that will provide de...
: This is an ongoing project, which is scheduled until 2005. So I decided together with Richard Wang to set up Sup-Projects that could be published earlier. The main objective is t...
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to ca...
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh ...
— In mobile ad-hoc peer-to-peer (M-P2P) networks, economic models become a necessity for enticing non-cooperative mobile peers to provide service. M-P2P users may issue queries w...
— With the rapid growth of wireless sensor systems deployment, data quality has become a critical issue to the success of these applications. In this paper, we first raise the d...
: From a process perspective, the tasks that individuals carry out within an organization are linked. These linkages are often documented as process flow diagrams that connect the ...
We demonstrate a program that can inspect a distributed relational database on the Internet to discover and quantify referential integrity issues for integration purposes. The pro...
To succeed in their tasks, users need to manage data with the most adequate quality levels possible according to specific data quality models. Typically, data quality assessment co...
Ismael Caballero, Eugenio Verbo, Manuel A. Serrano...
I started my PhD studies in March 2008 under the joint supervision of Prof. Xuemin Lin and Dr. Wei Wang. My current research interests include spatial databases, uncertain database...
Data quality is a critical problem in modern databases. Data entry forms present the first and arguably best opportunity for detecting and mitigating errors, but there has been li...
Kuang Chen, Harr Chen, Neil Conway, Joseph M. Hell...