Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions, 1st Edition

  • Pedro Nuno San-Banto Furtado
  • Published By:
  • ISBN-10: 1605668176
  • ISBN-13: 9781605668178
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 362 Pages | eBook
  • Original Copyright 2010 | Published/Released March 2011
  • This publication's content originally published in print form: 2010

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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

Front Cover.
Title Page.
Copyright Page.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
1: Foundation Issues in Data Warehousing and OLAP.
2: Data Warehouse Architecture: Practices and Trends.
3: Improving Expressive Power in Modeling Data Warehouse and OLAP Applications.
4: From Conventional to Multiversion Data Warehouse: Practical Issues.
5: Compression Schemes of High Dimensional Data for MOLAP.
6: Application Issues and Trends in Data Warehousing and OLAP.
7: View Management Techniques and Their Application to Data Stream Management.
8: A Framework for Data Warehousing and Mining in Sensor Stream Application Domains.
9: A Data Warehousing Approach for Genomics Data Meta–Analysis.
10: A Multidimensional Model for Correct Aggregation of Geographic Measures.
11: Foundations and Applications of Data Mining and Data Analysis.
12: Novel Trends in Clustering.
13: Recent Advances of Exception Mining in Stock Market.
14: Analysis of Content Popularity in Social Bookmarking Systems.
15: Using Data Mining Techniques to Probe the Role of Hydrophobic Residues in Protein Folding and Unfolding Simulations.
16: A Geostatistically Based Probabilistic Risk Assessment Approach.
Compilation of References.
About the Contributors.