edited by Claudia Plant (Technische Universität München, Germany) & Christian Böhm (Ludwig-Maximilians Universität München, Germany)

Table of Contents (294k)
Preface (240k)
Chapter 1: Biomedical Databases and Data Mining (378k)

This book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine.

A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research.

• Biomedical Databases and Data Mining
• DYNASTAT: A Methodology for Modeling of Multiagent Systems
• SciPort: An Extensible Data Management Platform for Biomedical Research
• An Integrative Framework for Anonymizing Clinical and Genomic Data
• Data Integration Challenges: A Systems Biology Perpsective
• Ontology-Based Data Integration: A Case Study in Clinical Trials
• A Data Warehouse for Ca. Glomeribacter Gigasporarum Bacterium
• Quality of Medical Data: A Case Study
• Efficient EMD-Based Similarity Search in Medical Image Databases
• Fast Multimedia Querying for Medical Applications
• Ensemble Feature Selection in Biomedical Applications
• Analysis of Breast Cancer Geonomic Data by Fuzzy Association Rule Mining
• Graph Mining on Brain Co-Activation Networks
• Automatic Identification of Surgery Indicators
• Incremental Learning of Medical Data for Multi-Step Patient Health Classification