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Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
Date: 28 April 2011, 06:18

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Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
By Pedro Nuno San-Banto Furtado
* Publisher: Information Science Reference
* Number Of Pages: 345
* Publication Date: 2009-10-15
* ISBN-10 / ASIN: 1605668168
* ISBN-13 / EAN: 9781605668161
Product Description:
Data warehousing and mining technologies are key assets today in many areas of human knowledge, from scientific to commercial and industrial settings, and the last decades have seen tremendous advances in those fields. Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions provides insight into the latest findings concerning data warehousing, data mining, and their applications in everyday human activities. Comprising a valuable resource for researchers, practitioners, and academicians, this advanced publication offers insight into recent field trends, techniques on how these technologies operate, and analysis of their effects.
Table of Contents:
TENTATIVE
Section I: Foundation Issues in Data Warehousing and OLAP
Chapter I: Data Warehouse Architectures: Practices and Trends
Chapter II: Improving Expressive Power in Modeling Data Warehouse and OLAP Applications
Chapter III: From Conventional to Multiversion Data Warehouse: Practical Issues
Chapter IV: Compression Schemes of High Dimensional Data for MOLAP
Section II: Application Issues and Trends in Data Warehousing and OLAP
Chapter V: View Management Techniques and Their Application to Data Stream Management
Chapter VI: A Framework for Data Warehousing and Mining in Sensor Stream Application Domains
Chapter VII: A Data warehousing approach for Genomics Data Meta-Analysis
Chapter VIII: A Logical Multidimensional Model for Correct Aggregation of Geographic Measures
Section III: Foundations and Applications of Data Mining and Data Analysis
Chapter IX: Novel Trends in Clustering
Chapter X: Recent Advances of Exception Mining in Stock Market
Chapter XI: Analysis of Content Popularity in Social Bookmarking Systems
Chapter XII: Using Data Mining Techniques to Probe the Role of Hydrophobic Residues in Protein Folding and Unfolding Simulations
Chapter XII: A Geostatistically-based Probabilistic Risk Assessment Approach

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