Learn More
The ARB (from Latin arbor, tree) project was initiated almost 10 years ago. The ARB program package comprises a variety of directly interacting software tools for sequence database maintenance and analysis which are controlled by a common graphical user interface. Although it was initially designed for ribosomal RNA data, it can be used for any nucleic and(More)
Recovery after long-term blindness was first studied 1 in 1793, but few cases have been reported since 2–7. We combined psychophysical and neuroimaging techniques to characterize the effects of long-term visual deprivation on human cortex. At three and a half years old, our subject MM lost one eye and was blinded in the other after chemical and thermal(More)
Because of data privacy regulations, census data are available for analysis only in aggregated form. Primary data (responses of persons) are aggre-gated in many cross tabulations for small geographical units. Thus the target objects of secondary analysis are small areas (enumeration districts or wards). Any cell or marginal of a cross tabulation can be used(More)
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main characteristics of the objects of study are defined and a high-level framework for analyzing ubiquitous knowledge discovery systems is introduced. Next, a number of examples from a broad(More)
SubgroupMiner is an advanced subgroup mining system supporting multirelational hypotheses, efficient data base integration, discovery of causal subgroup structures, and visualization based interaction options. When searching for dependencies between subgroups and a target group, spatial subgroups with multirelational descriptions are explored. Search(More)
Due to the increased computerization of many industrial, scientific, and public sectors, the growth of available digital data is proceeding at an unprecedented rate. As a result, the demand for highly automated data analysis and interpretation systems and tools is growing fast. Besides data growth, there has been an accelerating trend towards the sharing of(More)
Spatio-temporal data mining is an emerging research area dedicated to the development and application of novel computational techniques for the analysis of large spatio-temporal databases. The main impulse to research in this subfield of data mining comes from the large amount of & spatial data made available by GIS, CAD, robotics and computer vision(More)