Jing Wang

Learn More
The discovery of interesting regions in spatial datasets is an important data mining task. In particular, we are interested in identifying disjoint, contiguous regions that are unusual with respect to the distribution of a given class; i.e. a region that contains an unusually low or high number of instances of a particular class. This paper centers on the(More)
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to analyze datasets at different levels of granularity. One of the special challenges for spatial data mining is that information is usually not uniformly distributed in spatial(More)
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamental importance. Unfortunately, regional patterns frequently fail to be discovered due to insufficient global confidence and/or support in traditional association rule mining.(More)
As a result of rapid urban economic development and improvement in living standards, urban residential electricity consumption in China is increasing quickly. Although the factors which influence the urban residential load are complex, an objective analysis followed by the setting up of a logical urban residential load forecast model can offer a scientific(More)
request, provided it is not made publicly available until 12 months after publication. Abstract The motivation for regional association rule mining and scoping is driven by the facts that global statistics seldom provide useful insight and that most relationships in spatial datasets are geographically regional, rather than global. Furthermore, when using(More)
The K9ER system was designed to provide veterinary students the opportunity to learn and practice the diagnostic and treatment processes in an emergency room. It can be operated on any personal computer with Windows95 and later. This program was written in PROLOG and C++, and was developed in the LPA WIN-PROLOG programming environment. K9ER was developed(More)
BACKGROUND Despite the high prevalence of chronic hepatitis B virus (HBV) infection in China, HBV infection prevention and long-term care knowledge of health professionals is inadequate. To address this knowledge gap, we developed an open-access evidence-based online training course, "KnowHBV", to train health professionals on prevention of HBV transmission(More)
The objective of this study is to explore the extent to which managed care market penetration in the United States is associated with the presence of chronic disease. Diabetes was selected as the chronic disease of interest due to its increasing prevalence as well as the disease management protocols that can lessen disease complications. We hypothesized(More)