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Download e-book for iPad: Advances in Data Mining. Applications and Theoretical by Claus Weihs, Gero Szepannek (auth.), Petra Perner (eds.)

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

ISBN-10: 364203067X

ISBN-13: 9783642030673

This publication constitutes the refereed court cases of the ninth business convention on facts Mining, ICDM 2009, held in Leipzig, Germany in July 2009.

The 32 revised complete papers provided have been rigorously reviewed and chosen from a hundred thirty submissions. The papers are equipped in topical sections on facts mining in drugs and agriculture, information mining in advertising, finance and telecommunication, information mining in method keep watch over, and society, facts mining on multimedia facts and theoretical points 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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On the other hand, plants with more chlorophyll will have higher REIP values as the red edge moves toward the higher wavelengths. For the range of REIP values encountered in the available data, see Tables 1(b) and 1(c). The numbers in the REIP 32 and REIP 49 names refer to the growing stage of winter wheat, as defined in [16]. 3 Electric Conductivity – EM 38 A non-invasive method to discover and map a field’s heterogeneity is to measure the soil’s conductivity. 5 metres. There is no possibility of interpreting these sensor data directly in terms of its meaningfulness as yield-influencing factor.

ICDM 2008. LNCS, vol. 5077, pp. 47–56. Springer, Heidelberg (2008) 27. : Prerequisites for the adoption of new technologies - the example of precision agriculture. In: Agricultural Engineering for a Better World, D¨usseldorf. VDI Verlag GmbH (2006) 28. : Corn yield prediction with artificial neural network trained using airborne remote sensing and topographic data. In: 2000 IEEE International Geoscience and Remote Sensing Symposium, vol. 1, pp. 384–386 (2000) 29. : A tutorial on support vector regression.

Ali, M. ) IEA/AIE 2003. LNCS (LNAI), vol. 2718, Springer, Heidelberg (2003) 2. : Fault Detection and Diagnosis in Industrial Systems. Springer, Heidelberg (2001) 3. : Industrial experiences with multivariate statistical analysis of batch process data. Chemometrics and Intelligent Laboratory Systems 81, 109–119 (2006) 4. : Industrial implementation of on-line multivariate quality control. Chemometrics and Intelligent Laboratory Systems 88(2), 143–153 (2007) 5. : A genetic K-means clustering algorithm applied to gene expression data.

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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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