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VizRank can be used with any visualization method that maps attribute values to points in a two-dimensional visualization space. ... It assesses possible data projections and ranks them by their ability to visually discriminate between classes. ... Acknowledgments The authors wish to thank Uros Petrovic for the help on analysis of yeast gene expression data set and twelve post-graduate students of University of Ljubljana who for participating in ...doi:10.1007/s10618-005-0031-5 fatcat:dkviwit2xffrrdmqc3k4ye7gdm
A retrospective data mining approach was implemented using non-linear multidimensional visualization and classification to identify spectroscopic and nanoindentation metrics that best discriminated bone ... The ability to classify the specimens into the correct age group increased by using combinations of Raman and nanoindentation variables (86-96% accuracy) as compared to using individual measures (59-79% ... This work was supported by National Institutes of Health Grants No. R01-AR052010 and R01-AR056657 (Morris), DoD/US Army Grant No. DAMD17-03-1-0556 (Kohn), Regenerative Sciences Training Grant No. ...doi:10.1016/j.bone.2011.12.026 pmid:22285889 pmcid:PMC3299845 fatcat:awxl6327j5dshamphqtfg7tz5y
The new generation of tools for explorative data analysis will need to address integrated data storage and processing, fast prototyping of data analysis pipelines supported by machine-proposed analysis ... In explorative data analysis, the key is the responsiveness of the system and prompt construction of interactive visualizations that can guide the users to uncover interesting data patterns. ... Clients with user interface send data analysis requests to application servers that engage FIGURE 8 | 8 Intelligent data visualization by VizRank. ...doi:10.1002/widm.1155 fatcat:wpldgubibvfzlfzmzhwr3norc4
The SERS signal of various viral samples, including spiked saliva, was analyzed using machine learning classifiers. ... We envision that this approach which features large area nanopatterning, fabrication in both rigid and flexible formats for wearables, SERS spectroscopy and machine learning can enable new types of rapid ... The subtle differences in the composition, which are reflected as changes in the Raman peak intensities and positions, undetectable visually, can be easily amplified by machine learning. ...doi:10.1101/2021.10.29.21265683 fatcat:wfo45lnmtrd5jkyggrumpo3zea
The former is a machine that learns incrementally by receiving instruction from a trainer or by its own trial-and-error. ... Orange (http://orange.biolab.si) is a general-purpose machine learning and data mining tool. ... Acknowledgement This work is an outcome of a research project funded by MCIT, New Delhi. ...fatcat:t7hwnky6zbg4jg6ul4xfsiciu4
users' perceptions as the objective functions, and guides the users to form the optimal hypothesis by improving the desired visual patterns. ... It facilitates humans' reasoning capabilities with interactive visual interfaces for exploratory data analysis tasks, where automatic data mining methods fall short due to the lack of the pre-defined objective ... The feedback adjusts the final confidence score which is constituted by a linear combination of difference confidence values and weights on sources during the predictive process.Lately a few machine learning ...doi:10.7912/c2/2290 fatcat:7uv3bmyx4faxvkhgjm3xfjgsru