Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
In our days knowledge extraction methods are able to produce artifacts (also called patterns) that concisely represent data. Patterns are usually quite heterogeneous and require a...
Personnel risk is an issue which has not been researched well but plays an important role to determine whether a software project succeeds or fails. Most existing work focuses on ...
Hsinyi Jiang, Carl K. Chang, Jinchun Xia, Shuxing ...
Learners and knowledge workers are increasingly facing environments where frequent interruptions, multi-tasking, information overload, and insufficient community awareness are the ...
Abstract: While agility is a core challenge in today's competitive business, softwarebased business process modeling and execution approaches often refer to strict and inflexi...