Science fiction stories seductively portray robots as human. In present reality (early 21st century) robots are machines, even though they can do many things far better than human...
Formal concept analysis (FCA) is increasingly applied to data mining problems, essentially as a formal framework for mining reduced representations (bases) of target pattern famili...
Program errors are a source of information leaks. Tracking these leaks is hard because error propagation breaks out of program structure. Programming languages often feature excep...
Querying non-conventional data is recognized as a major issue in new environments and applications such as those occurring in pervasive computing. A key issue is the ability to qu...
Existing Language Identification (LID) approaches do reach 100% precision, in most common situations, when dealing with documents written in just one language, and when those docu...