tween documents. They should allow for an abstract representation of data which resembles the way they are actually perceived and used in the real world, thus shortening (with resp...
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other da...
Amandeep S. Sidhu, Tharam S. Dillon, Elizabeth Cha...
The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been ...
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri...