Integrating Knowledge Engineering with Knowledge Discovery in Database: TOM4D and TOM4L

Reducing the gap between experts' knowledge and data: The TOM4D methodology

“…Owing to the fact that both TOM4D and TOM4L are based on the same theory, TOM4D functional and behavioural models and TOM4L functional and behavioural models share the same formalism; and consequently, they can be compared to each other. In particular, these models complement together [54] where TOM4D models provide semantic content to an observed set of phenomena and TOM4L models describe an observed process Θ(X, Δ) under the form of a timed stochastic process that produces sequences of timed observations. The TOM4L KDD process is based on representing the set Ω under the form of a structure K(Ω) called K-Representation which is made up of 12 matrices.…”