— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
Research on process flexibility has traditionally explored alternative ways of considering flexibility during the design of a business process. The focus typically has been on ways...
Self-adaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem moni...
Heather Goldsby, Peter Sawyer, Nelly Bencomo, Bett...
Service-Oriented Architectures (SOAs) are increasingly deployed to achieve distributed systems that are modular, flexible and extensible. Designing for a SOA can be difficult, how...
David E. Millard, Hugh C. Davis, Yvonne Margaret H...