This paper presents an approach to active mining of patient records aimed at discovering patient groups at high risk for coronary heart disease (CHD). The approach proposes active expert involvement in the following steps of the knowledge discovery process: data gathering, cleaning and transformation, subgroup discovery, statistical characterization of induced subgroups, their interpretation, a...

Metasystems are geographically distributed networks of heterogeneous computers on which a user can run very large program sets and parallel programs. We explain the concept of transparency and how it is presented to a metasystem client in five active research metasystems. We also judge the extent to which this transparency will benefit the novice and the expert user. We consider transparency in...

It is needed for evidence-based medicine to support a medical expert in discovering clinically useful knowledge with data mining techniques. However, the real data on medical test results are severely intractable since they are sequential, large-scale, and ill-defined with many attributes and missing values. This paper discusses how pre-processing should be going and how a rule discovery suppor...

An important step in realizing the vision of both Web services and Grid is the provision of a robust, automatic and reliable solution for finding services or resources in such environments. Different solutions to this problem were already proposed, each with its specific model and realization. Although all solutions address the same problem, it is very difficult for a non-expert and even for an...

Education is a learning activity that determines the success of achieving student outcomes in class. So, to achieve goals by increasing outcomes, it necessary have good and correct process with help facilities, methods.This study aims determine effect an interactive e-module based on kvisoft flipbook discovery model arthropod material outcomes. This research uses development (R&D) ADDIE whi...

Process discovery algorithms typically aim at discovering process models from event logs. Most algorithms achieve this by solely using an event log, without allowing the domain expert to influence the discovery in any way. However, the user may have certain domain expertise which should be exploited to create better process models. In this paper, we address this issue of incorporating domain kn...

The challenge of finding services or resources in Web services and Grid environments has recently been the subject of a lot of attention. Different solutions to this problem were proposed, each with its specific model and realization. Although all solutions address the same problem, it is very difficult for a non-expert and even for an expert in the field to decide if one solution is better the...

We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. recruited a total 55 people that completed more than 25$\%$ project. During classification task, we present participants 1489 images. The sample contains variety data including simulations, real lenses, non-lens examples, and unlabeled data. find experts ...

OBJECTIVE To analyze the effect of expert knowledge on the inductive learning process in creating classifiers for medical text reports. DESIGN The authors converted medical text reports to a structured form through natural language processing. They then inductively created classifiers for medical text reports using varying degrees and types of expert knowledge and different inductive learning...