By Lazaros Iliadis, Michael Papazoglou, Klaus Pohl
This ebook constitutes the completely refereed lawsuits of 5 overseas workshops held in Thessaloniki, Greece, along side the twenty sixth overseas convention on complicated details platforms Engineering, CAiSE 2014, in June 2014.
The 24 complete and 8 brief papers have been conscientiously chosen from sixty three submissions.
The 5 workshops have been the 1st overseas Workshop on complicated likelihood and information in info platforms (APSIS), the 1st foreign Workshop on Advances in companies layout in line with the inspiration of potential, the second one overseas Workshop on Cognitive facets of knowledge platforms Engineering (COGNISE), the 3rd Workshop on New new release firm and enterprise Innovation structures (NGEBIS), and the 4th overseas Workshop on info platforms protection Engineering (WISSE).
Read Online or Download Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings PDF
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Extra resources for Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings
A solution to these concerns and suggestions would be the development of a hybrid methodology, consisting of the MT strategy and a feature selection technique as a replacement for the OA-S/N ratio method.  have proposed an approach that uses binary particle swarm optimization for the feature selection problem. In this study, we propose the use of a Genetic Algorithm (GA) for optimizing the procedure of selecting the most useful variables. In addition, we proceed further in the application of the GA by formulating a GA-based reﬁnement of the training set as well.
An Evolutionary Improvement of the Mahalanobis – Taguchi Strategy 21 The GA is executed until a stopping condition is satisﬁed (for instance, the maximum number of generations is reached or the ﬁtness function’s value no longer improves). For more details about the basic notions of GA, see (). In the relevant literature, there are various GA applications for feature selection (see for example [13,22]). Moreover, we ﬁnd several studies dealing with hybrid GA-based methodologies in intrusion detection (see for example [32,18]).
17 as forecasts of the hold-out set of the ASM project. e. x . Thus, we have 6, 6 and 6 as our ﬁnal forecasts which is quite close to real observations of 5, 4 and 1 (see Table 1 for the NREs). Therefore, the suitability of our ARMA(2,3) model for capturing the dynamics of design model evolution of the ASM project is approved (see Step M5 in Sec. 2). Generally it is shown that the errors are accumulated for k-step forecasts of ARMA models lose their prediction power as well as their accuracy quickly for farther predictions .
Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings by Lazaros Iliadis, Michael Papazoglou, Klaus Pohl