不断发展的数据仓库与挖掘应用领域趋势与对策 英文 364页

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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

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关键词：数据仓库 应用领域 Architecture Conventional Applications 英文 领域 对策 趋势 数据仓库

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