author: nada lavrač

... WHAT IS THE INTEGRATION OF DATA MINING AND DECISION SUPPORT ? This section discusses ... more desirable than others for the decision maker . Very often , this ... OLAP ( Mallach , 2000 ) , have started to incorporate more and more data ...

... GUIDE than for MOB and CTree even when γ and α are fixed. In general, we can see that the R2, which measures ... training data for the lm is 0.9902 (0.0006) and for the XGBoost 0.9858 (0.0008). On the test data set the respective ...

... relation . The hypothesis language is typically a subset of the language of program clauses . As the complexity of learning grows with the expressiveness of the hypothesis language , restrictions have to be imposed on hypothesized ...

... Vlt2 1t3v [ lt4 Vlt5 ] [ 1t6 vlt71t8 1t9 ] Suff . Suff . Nec . Suff . Nec . Nec . Nec . 4 Noise Handling Procedure The algorithm described in Sec . 2 ... 2 . It selects ... task . But if the search space is reduced to the subsets of the already ...

... atoms whose predicates are in P and whose arguments are either constants or variables from X. A ... atom α, (Σ,Π) |= α iff (Σ,Π ∪ {← α}) is unsatisfiable. Thus ground queries ... 4.1 Defining the Learning. 164 F.A. Lisi and F. Esposito.

... Natalie Angier, Agatha Christie and John Grisham. The following algorithm for mining categorical preferences uses cluster techniques in order to detect such proper sets. Algorithm 1: Miner for categorical preferences in static domains ...