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By Petra Perner

This ebook constitutes the refereed court cases of the sixth business convention on information Mining, ICDM 2006, held in Leipzig, Germany in July 2006. provides forty five conscientiously reviewed and revised complete papers equipped in topical sections on information mining in medication, net mining and logfile research, theoretical facets of knowledge mining, info mining in advertising, mining signs and pictures, and facets of knowledge mining, and functions comparable to intrusion detection, and extra.

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Extra resources for Advances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining: 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 2006, Proceedings

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Springer, NY, 2001. 2. : Comparison of genomic DNA sequences: solved and unsolved problems. Bioinformatics 17 (2001) 391397. 3. Vinga,S. : Alignment-free sequence comparisona review. Bioinformatics 19 (2003) 513523. 4. : Ameasure of the similarity of sets of sequences not requiring sequence alignment. Proc. Natl Acad. Sci. USA 83 (1986) 51555159. 5. P. : A measure of DNA sequence dissimilarity based on Mahalanobis distance between frequencies of words. Biometrics 53 (1997) 14311439. 6. C. : Statistical measures of DNA dissimilarity under Markov chain models of base composition.

A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression. Bioinformatics 20 (2004) 2429–2437 13. : An evaluation of gene selection methods for multi-class microarray data classification. In: Proc. 2nd European Workshop on Data Mining and Text Mining in Bioinformatics (2004) 3–10 14. : Minimum redundancy feature selection from microarray gene expression data. In: Proc. 2nd IEEE Computational Systems Bioinformatics Conference.

2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2004) 737–742 6. : Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method. Bioinformatics 17 (2001) 1131–1142 7. : Feature selection for high-dimensional genomic microarray data. In: Proc. 18th International Conference on Machine Learning (2001) 601–608 8. : Relevance, redundancy and differential prioritization in feature selection for multiclass gene expression data.

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