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 e-book constitutes the refereed lawsuits of the ninth business convention on information Mining, ICDM 2009, held in Leipzig, Germany in July 2009.

The 32 revised complete papers awarded have been conscientiously reviewed and chosen from one hundred thirty submissions. The papers are geared up in topical sections on info mining in medication and agriculture, information mining in advertising, finance and telecommunication, information mining in method keep an eye on, and society, facts mining on multimedia facts and theoretical features of knowledge mining.

Show description

Read Online or Download Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings PDF

Similar industrial books

Read e-book online Advances in Data Mining. Applications and Theoretical PDF

This publication constitutes the refereed court cases of the ninth business convention on information Mining, ICDM 2009, held in Leipzig, Germany in July 2009. The 32 revised complete papers awarded have been conscientiously reviewed and chosen from one hundred thirty submissions. The papers are equipped in topical sections on facts mining in drugs and agriculture, information mining in advertising, finance and telecommunication, info mining in method keep watch over, and society, facts mining on multimedia facts and theoretical points of knowledge mining.

's International Review of Industrial and Organizational PDF

This can be the 17th within the such a lot prestigious sequence of annual volumes within the box of commercial and organizational psychology. The sequence presents authoritative and integrative experiences of the most important literature of commercial psychology and organizational habit. The chapters are written via validated specialists and subject matters are rigorously selected to mirror the key issues within the learn literature and in present perform.

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

Sample text

For dataset A, 7 fermentations - including normal and problematic- classified all their samples in the same clusters when 3 PCs were used (5, 11, 14, 16, 19, 21, 22) and when 5 or 8 PCs were used, six fermentations classified all their samples in one cluster. Hence, in this case, adding more PCs obscure the detection of problematic fermentations. For dataset E, results were different. Since the number of fermentations –including normal and problematic- that classified all their samples in the same cluster was 7 using 3 (4, 7, 11, 12, 18, 23, 24) or 5 PCs (5, 9, 11, 19, 20, 23, 24), and 10 using 8 PCs (2, 3, 4, 5, 9, 11, 19, 22, 23, 24).

Eng. 2, 228–238 (2000) 7. : A study on the number of principal components and sensitivity of fault detection using PCA. Computers and Chemical Engineering 31, 1035–1046 (2006) 8. : Monitoring large scale wine fermentations with infrared spectroscopy. Talanta 64, 778–784 (2004) 9. : Using data mining techniques to predict industrial wine problem fermentations. Food Control 18(12), 1512–1517 (2007) 10. : Using Historical Data for Bioprocess Optimization: Modeling Wine Characteristics Using Artificial Neural Networks and Archives Process Information.

1 Introduction to Regression Techniques Since one particular technique, namely MLPs, has been used successfully in previous work [24,26], it is used as a reference model here. Three additional modeling techniques will be presented that are suitable for the task of yield prediction. In the past, numerous regression techniques have been used successfully on data from agriculture. Neural networks have shown to be quite effective in modeling yield of different crops ([7,28]). In [31] and [32], artificial neural networks, namely multilayer perceptrons (MLPs) have been trained to predict wheat yield from fertilizer and additional sensor input.

Download PDF sample

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.)


by Anthony
4.0

Rated 4.43 of 5 – based on 12 votes