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

Contributor(s):

Material type: Text

TextPublication 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	Main library A2	Computers & Information Technology ( Information systems )	006.312 I (Browse shelf(Opens below))	Available		00009741

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Previous	006.312 E.T.B Big data fundamentals : concepts, drivers & techniques /	006.312 H.J.D Data mining : concepts and techniques /	006.312 H.J.D Data mining : concepts and techniques /	006.312 I Integrations of data warehousing, data mining and database technologies : innovative approaches /	006.312 J.R.A Agile data science 2.0 : building full-stack data analytics applications with Spark /	006.312 L.B.W Web data mining : exploring hyperlinks, contents, and usage data /	006.312 M.T.D Data and text mining : a business applications approach /	Next

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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