Free or low-cost sources of unstructured information, such as Internet news and online discussion sites, provide detailed local and near real-time data on disease outbreaks, even in countries that lack traditional public health surveillance. To improve public health surveillance and, ultimately, interventions, we examined 3 primary systems that process event-based outbreak information: Global Public Health Intelligence Network, HealthMap, and EpiSPIDER. Despite similarities among them, these systems are highly complementary because they monitor different data types, rely on varying levels of automation and human analysis, and distribute distinct information. Future development should focus on linking these systems more closely to public health practitioners in the field and establishing collaborative networks for alert verification and dissemination. Such development would further establish event-based monitoring as an invaluable public health resource that provides critical context and an alternative to traditional indicator-based outbreak reporting.
Let's say you've identified a microdecision or two that has economic leverage. What can you do to improve it? There are many possible interventions, and it's important not just to always use the same one. One approach is to automate it entirely. This is the focus of James Taylor and Neil Raden's book Smart Enough Systems, and of Taylor's blog on enterprise decision management. . If the decision is structured enough, that may be a good idea.
Information is stuck inside HTML pages, formatted in esoteric ways, difficult for machines to process. "Web 3.0", precursor to a refined semantic web, will change this. ‘Web 3.0′ will transform web sites into web services. Unstructured information bec
Web content mining is related but different from data mining and text mining. It is related to data mining because many data mining techniques can be applied in Web content mining. It is related to text mining because much of the web contents are texts. H
Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification, association rule mining, clusteri
Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification, association rule mining, clusteri
Annotea is a W3C Semantic Web Advanced Development project that provides a framework for rich communication about Web pages through shared RDF metadata. An RDF model of bookmark classification permits multiple classification systems to be related to each
Annotea is a W3C Semantic Web Advanced Development project that provides a framework for rich communication about Web pages through shared RDF metadata. An RDF model of bookmark classification permits multiple classification systems to be related to each
After analyzing a large amount of social annotations, we found that tags are usually semantically related to each other if they are used to tag the same or related resources for many times. Users may have similar interests if their annotations share many
After analyzing a large amount of social annotations, we found that tags are usually semantically related to each other if they are used to tag the same or related resources for many times. Users may have similar interests if their annotations share many
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At
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