Documentation know-how sharing by automatic process tracking
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Automatic logging of operating system effects to guide application-level architecture simulation
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
SENTINEL: a semantic business process monitoring tool
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Cascaded Segmentation of Grained Cell Tissue with Active Contour Models
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Scratch assay analysis with topology-preserving level sets and texture measures
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
On the role of file system metadata in digital forensics
Digital Investigation: The International Journal of Digital Forensics & Incident Response
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Proper archiving or later reconstruction and verification of results in data analysis requires thorough logging of all manipulative actions on the data and corresponding parameter settings. Unfortunately such documentation tasks often enforce extensive and error prone manual activities by the user. To overcome these problems we present Alida, an approach for fully automatic documentation of data analysis procedures. Based on an unified operator interface all operations on data including their sequence and configurations are registered during analysis. Subsequently these data are made explicit in XML graph representations yielding a suitable base for visual and analytic inspection. As example for the application of Alida in practice we present MiToBo, a toolbox for image analysis implemented on the basis of Alida and demonstrating the advantages of automatic documentation for image analysis procedures.