2002
Authors
Jorge, A; Moyle, S; Voss, A;
Publication
COLLABORATIVE BUSINESS ECOSYSTEMS AND VIRTUAL ENTERPRISES
Abstract
The basic principles of a methodology for remote collaborative data mining are proposed. Starting from CRISP-DM, a general data mining process designed to carry out data mining projects; it is described how the principles of knowledge sharing and ease of communication can be embedded in the data mining process, The aim is to allow the execution of data mining projects, with the participation of multiple experts working from distant locations. All the participants in such a project can profit from the knowledge produced by others and share their knowledge online with the other participants. The produced knowledge (for example data transformations, working hypothesis, models, results of experiments) is also stored for future inspection and use, in pursuit of organizational learning. A prototypical implementation (RAMSYS) of the remote collaborative methodology is described with examples.
2005
Authors
Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J;
Publication
PKDD
Abstract
2001
Authors
Brazdil, P; Jorge, A;
Publication
EPIA
Abstract
2005
Authors
Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;
Publication
ECML
Abstract
2009
Authors
Gama, J; Costa, VS; Jorge, AM; Brazdil, P;
Publication
Discovery Science
Abstract
1994
Authors
Brazdil, P; Jorge, A;
Publication
ECAI
Abstract
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