ContentSection1 Foundation Issues in Data Warehousing and OLAP
Chapter1 Data Warehouse Architectures: Practices and Trends
Chapter2 Improving Expressive Power in Modeling Data Warehouse and OLAP Application
Chapter3 From Conventional to Multiversion Data Warehouse
Chapter4 Compression Schemes of High Dimension Data for AOLAP
Section2 Application Issues and Trends in Data Warehouse and OLAP
Chapter5 View Management Techniques and Their Application to Data Stream Management
Chapter6 A Framework for Data Warehouse and Mining in Sensor Stream Application Domains
Chapter7 A Data Warehouse Approach for Genomics Data Meta-Analysis
Chapter8 A Multidimensional Model for Correct Aggregation of Geographic Measure
Section3 Foundations and Applications of Data Mining and Data Analysis
Chapter9 Novel Trends in Clustering
Chapter10 Recent Advances of Exception Mining in Stock Market
Chapter11 Analysis of Content Popularity in Social Bookmarking Systems
Chapter12 Using Data Mining Techinques to Probe the Role of Hydrophobic Residues in Protein Folding and Unfolding Simulation
Chapter13 A Geostatistically Based Probabilistic Risk Assessment Approach