By Heng Chen, Yi Jin, Yan Zhao, Yongjuan Zhang (auth.), Petra Perner (eds.)
This ebook constitutes the refereed lawsuits of the thirteenth business convention on information Mining, ICDM 2013, held in manhattan, long island, in July 2013. The 22 revised complete papers awarded have been rigorously reviewed and chosen from 112 submissions. the subjects variety from theoretical points of information mining to functions of knowledge mining, similar to in multimedia info, in advertising, finance and telecommunication, in medication and agriculture, and in technique keep an eye on, and society.
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Extra info for Advances in Data Mining. Applications and Theoretical Aspects: 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings
Ludescher et al. ﬂy, depending on the required CPUs or waiting calculations. The complete AAF workﬂow is implemented in Taverna, therefore we provided several diﬀerent Taverna activities. – The Data Selection Activity can be used to select the statistical analysis methods, such as classiﬁcation, prediction or clustering. Additionally the user is able to select the independent and dependent variables (Fig. 5). The output of this activity is a list of independent semicolon separated parameter sets.
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For full (online) optimization and disturbance rejection, however, more decision moments are needed. In an ideal case, changes to the MVs are made every few time points: frequently enough to tightly control the ﬁnal quality and negate the eﬀect of process disturbances, but without upsetting the batch with too frequent adjustments. In the work of McCready, full factorial test runs were conducted for constructing the statistical inference model. This is feasible for the case with a single MV and three decision moments.
Advances in Data Mining. Applications and Theoretical Aspects: 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings by Heng Chen, Yi Jin, Yan Zhao, Yongjuan Zhang (auth.), Petra Perner (eds.)