High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
Distance-preserving projection based perturbation has gained much attention in privacy-preserving data mining in recent years since it mitigates the privacy/accuracy tradeoff by ac...
In medical clinical trials, overall trial results are highlighted in the s of papers/reports. These results are summaries of underlying statistical analysis where most of the time ...
In recent years, corporate governance has become a more and more important concern in investment decision-making. As one of the most important factors in evaluating corporate gove...