GPS Solutions addresses the latest developments in GNSS infrastructure, mathematical modeling, algorithmic developments and data analysis, user hardware, and general issues that impact the user community.
Up to date, a number of biclustering algorithms for microarray data analysis have been developed such as δ-biclustering [ 1], FLOC [ 2], pClustering [ 3], statistical-algorithmic method for biclustering analysis SAMBA) [ 4], spectral biclustering [ 5].
We propose a process, based on concept mapping, which integrates group creativity techniques, card sorting procedures, quantitative data analysis and algorithmic automatization to construct meaningful and complete hierarchies of criteria.
Since multiple algorithmic approaches for the basic data analysis have been developed, there is now an increasing need to efficiently use these tools to obtain results in reasonable time.
Stochastic first-order methods provide a basic algorithmic tool for online learning and data analysis.
QuickNGS takes advantage of parallel computing resources, a comprehensive back-end database, and a careful selection of previously published algorithmic approaches to build fully automated data analysis workflows.
This is particularly important when parallel computing serves as a tool for other sciences since nonexpert designers should be able to experiment different algorithmic solutions for both simulations and data analysis.
The Big Data Group examines algorithmic and statistical aspects of large-scale data analysis.
Mobile sensing makes heavy use of sensor data, but does not encompass clinical or genetic data and tends to assume more algorithmic as opposed to statistical approaches to data analysis and interpretation of results.
MMDS 2008 grew out of our expectation for what the algorithmic and statistical foundations of large-scale data analysis should look like a generation from now.
