Advances in Data Mining. Applications and Theoretical - download pdf or read online

By Claus Weihs, Gero Szepannek (auth.), Petra Perner (eds.)

ISBN-10: 364203067X

ISBN-13: 9783642030673

This booklet constitutes the refereed complaints of the ninth commercial convention on facts Mining, ICDM 2009, held in Leipzig, Germany in July 2009.

The 32 revised complete papers offered have been conscientiously reviewed and chosen from one hundred thirty submissions. The papers are geared up in topical sections on information mining in medication and agriculture, information mining in advertising, finance and telecommunication, facts mining in method keep watch over, and society, information mining on multimedia information and theoretical elements of information mining.

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Extra info for Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings

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Rather than selecting one of the four presented models, there might be a certain combination of models that performs better than a single one. Some prerequisites would have to be fulfilled – such as the error for a certain data record would have to be alternatively low in one model and high in another. A similar idea is presented in [21]. The most time-consuming part of this article is the manual determination of parameters for one or more models since a large parameter space has to be considered.

For some applications of PCA, most of the variability in the data can be captured in two or three dimensions, and the process variability can be visualized with a single plot. But, there are other cases when most of the data variations cannot be captured in two or three dimensions and process monitoring is more difficult. For example, in [7] a signal to noise ratio (SNR) method was defined and proposed as an index of fault detection ability. The method applied PCA to reduce the data dimensionality.

5 Data Overview In this work, data sets from three different fields are being evaluated. A brief summary of the available data attributes for both data sets is given in Tables 1(a) to 1(c). On each field, different fertilization strategies have been used. One of those strategies is based on a technique that uses a multi-layer perceptron (MLP) for prediction and optimization. , [25,26] or [32]. For each field, one data set will contain all records, thus containing all the different fertilization strategies.

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Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings by Claus Weihs, Gero Szepannek (auth.), Petra Perner (eds.)


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