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Integrations of data warehousing, data mining and database technologies : innovative approaches / David Taniar and Li Chen, editors.

Contributor(s): Material type: TextTextPublication details: Hershey, PA : Information Science Reference, c2011.Description: xxxiv, 373 pages. : illustrations ; 29 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781609605377 (hardcover)
  • 9781609605384 (ebook)
Subject(s): DDC classification:
  • 006.312 22 I
LOC classification:
  • QA76.9.D37 I4577 2011
Contents:
Temporal Data Warehousing Summarizing Datacubes A Parameterized Framework for Clustering Streams A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data Multidimensional Design Methods for Data Warehousing On Handling the Evolution of External Data Sources in a Data Warehouse Architecture A Survey of Parallel and Distributed Data Warehouses A Survey of Extract–Transform–Load Technology A State-ofA-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining A Survey of Open Source Tools for Business Intelligence Primary and Referential Horizontal Partitioning Selection Problems What-If Application Design Using UML A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature Reliability Estimates for Regression Predictions Compilation of References About the Contributors Index
Summary: "This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books Main library A2 Computers & Information Technology ( Information systems ) 006.312 I (Browse shelf(Opens below)) Available 00009741

Includes bibliographical references (p. 339-360) and index.

Temporal Data Warehousing
Summarizing Datacubes
A Parameterized Framework for Clustering Streams
A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data
Multidimensional Design Methods for Data Warehousing
On Handling the Evolution of External Data Sources in a Data Warehouse Architecture
A Survey of Parallel and Distributed Data Warehouses
A Survey of Extract–Transform–Load Technology
A State-ofA-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining
A Survey of Open Source Tools for Business Intelligence
Primary and Referential Horizontal Partitioning Selection Problems
What-If Application Design Using UML
A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature
Reliability Estimates for Regression Predictions
Compilation of References
About the Contributors
Index

"This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher.

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