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130626 ||| eng |
| 020 |
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|a 9780387693194
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| 100 |
1 |
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|a Pardalos, Panos M.
|e [editor]
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| 245 |
0 |
0 |
|a Data Mining in Biomedicine
|h Elektronische Ressource
|c edited by Panos M. Pardalos, Vladimir L. Boginski, Alkis Vazacopoulos
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a New York, NY
|b Springer US
|c 2007, 2007
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| 300 |
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|a XVIII, 580 p
|b online resource
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| 505 |
0 |
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|a Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias -- Diagnosis of Alport Syndrome by Pattern Recognition Techniques -- Clinical Analysis of the Diagnostic Classification of Geriatric Disorders -- Data Mining Studies in Genomics and Proteomics -- A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis -- Mathematical Programming Formulations for Problems in Genomics and Proteomics -- Inferring the Origin of the Genetic Code -- Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics -- Clustering Proteomics Data Using Bayesian Principal Component Analysis -- Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining -- Characterization and Prediction of Protein Structure -- Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach -- A Topological Characterization of Protein Structure --
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| 505 |
0 |
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|a Applications of Data Mining Techniques to Brain Dynamics Studies -- Data Mining in EEG: Application to Epileptic Brain Disorders -- Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain -- Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques -- Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients -- Seizure Predictability in an Experimental Model of Epilepsy -- Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling
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| 505 |
0 |
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|a Recent Methodological Developments for Data Mining Problems in Biomedicine -- Pattern-Based Discriminants in the Logical Analysis of Data -- Exploring Microarray Data with Correspondence Analysis -- An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling -- CpG Island Identification with Higher Order and Variable Order Markov Models -- Data Mining Algorithms for Virtual Screening of Bioactive Compounds -- Sparse Component Analysis: a New Tool for Data Mining -- Data Mining Via Entropy and Graph Clustering -- Molecular Biology and Pooling Design -- An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier -- Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach -- Ontology Search and Text Mining of MEDLINE Database -- Data Mining Techniques in Disease Diagnosis --
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| 653 |
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|a Operations Research, Management Science
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| 653 |
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|a Operations research
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| 653 |
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|a Management science
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| 653 |
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|a Biomedical engineering
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| 653 |
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|a Medicine / Research
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| 653 |
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|a Biostatistics
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| 653 |
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|a Biology / Research
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| 653 |
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|a Biomedical Engineering and Bioengineering
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| 653 |
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|a Biomedical Research
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| 653 |
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|a Applications of Mathematics
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| 653 |
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|a Mathematics
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| 653 |
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|a Biometry
|
| 700 |
1 |
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|a Boginski, Vladimir L.
|e [editor]
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| 700 |
1 |
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|a Vazacopoulos, Alkis
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Springer Optimization and Its Applications
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| 028 |
5 |
0 |
|a 10.1007/978-0-387-69319-4
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-0-387-69319-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 610.72
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