TY  - BOOK
AU  - Pardalos,Panos M.
AU  - Boginski,Vladimir L.
AU  - Vazacopoulos,Alkis
ED  - SpringerLink (Online service)
TI  - Data Mining in Biomedicine
T2  - Springer Optimization and Its Applications,
SN  - 9780387693194
AV  - R-RZ 
U1  - 610 23
PY  - 2007///
CY  - Boston, MA
PB  - Springer US
KW  - Medicine
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Operations research
KW  - Management science
KW  - Statistics
KW  - Biomedical engineering
KW  - Biomedicine
KW  - Biomedicine general
KW  - Applications of Mathematics
KW  - Operations Research, Management Science
KW  - Biomedical Engineering
KW  - Statistics for Life Sciences, Medicine, Health Sciences
KW  - Electronic books
KW  - local
N1  - 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 -- 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 -- 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
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-0-387-69319-4
ER  -