In this paper, we explore one aspect of knowledge discovery from simulators, the landscape characterization problem, where the aim is to identify regions in the input/parameter/model space that lead to a particular output behavior. Large-scale numerical simulators are in widespread use by scientists and engineers across a range of government agencies, academia, and industry; in many cases, simu...

Abstract Observational healthcare data, such as electronic health records and administrative claims, provide longitudinal clinical information at the individual level. These data may cover tens of millions of patients and present unprecedented opportunities to evaluate the post-market safety of medical products. Analyzing patient-level databases yields population-level inferences, or ‘results,’...

2 Database Management Systems 3 2.1 Three-Schema Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Organisation of an Integrated Database System . . . . . . . . . . . . . . . . . . . . 5 2.3 Hierarchical and Network Databases . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.4 Relational Databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

We’d like to welcome you to this special issue of the Intelligent Data Analysis journal devoted to Knowledge Discovery in Bioinformatics. The articles selected for this issue partially come from the special session with the same name, Knowledge Discovery in Bioinformatics, in BGRS 2008. Additional articles, on the same topic, have been included from regular contributions received by the IDA jou...

A worldwide challenge in health systems is how to deal with big data. The trend towards personalized medicine has resulted in an explosion in the amount of complex data. The BIRS Workshop 15w2181 was dedicated to stimulate the cross-domain integration and appraisal of different fields towards tackling the grand challenge of discovering knowledge in complex data sets. The workshop brought togeth...

Trying to apply a visualization to data without prepro-cessing can often lead to incomprehensible results because of cluttered and confused displays. A solution is to use data mining to extract just the interesting results and to visualize them. There are two basic ways to carry out the mining: supervised and unsupervised. For the supervised case, the user has a particular goal in mind, while i...

Large databases are routinely being collected in science, business and medicines. A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand the data by discovering useful categories. However, to date research in data mining has not paid attention to the cognitive factors that make learned categories co...

With the rapid expansion of the World Wide Web, the need for efficient data retrieval strategies becomes stronger and will be still growing. Unfortunately classical information retrieval techniques, developed for well-organized collections of textual data do not seem to be able to cope with diversity and amount of information available throughout the Internet. This paper presents some of the ne...

Hyperlinks among webpages are very important information and are widely used for webpage clustering and webpage ranking. With the explosive growth in the number of webpages available online, the exploration of hyperlinks among webpages becomes a very challenging problem. Information visualization provides an effective way of visualizing hyperlinks and can help users gain insights into the relat...

The World Wide Web is a rich resource of information and knowledge. Within this resource, finding relevant answers to some given question is often a time consuming activity for a user. In the presented work we construct a web mining technique that can extract information from the web and create knowledge from it. The extracted knowledge can be used to respond more intelligently to user requests...