Data Mining and Bioinformatics First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Dalkilic, Mehmet M. (Επιμελητής έκδοσης), Kim, Sun (Επιμελητής έκδοσης), Yang, Jiong (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 4316
• Θέματα: Computer science.; Health informatics.; Mathematical statistics.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Bioinformatics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Computational Biology/Bioinformatics.; Probability and Statistics in Computer Science.; Health Informatics.

This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom database, data mining, and bioinformatics areas to h...

Πίνακας περιεχομένων:

• Bioinformatics at Microsoft Research
• A Novel Approach for Effective Learning of Cluster Structures with Biological Data Applications
• Subspace Clustering of Microarray Data Based on Domain Transformation
• Bayesian Hierarchical Models for Serial Analysis of Gene Expression
• Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data
• A Biological Text Retrieval System Based on Background Knowledge and User Feedback
• Automatic Annotation of Protein Functional Class from Sparse and Imbalanced Data Sets
• Bioinformatics Data Source Integration Based on Semantic Relationships Across Species
• An Efficient Storage Model for the SBML Documents Using Object Databases
• Identification of Phenotype-Defining Gene Signatures Using the Gene-Pair Matrix Based Clustering
• TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets
• Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences
• A Gene Structure Prediction Program Using Duration HMM
• An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences
• Discovering Consensus Patterns in Biological Databases
• Comparison of Modularization Methods in Application to Different Biological Networks.