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Integrations of Data
Warehousing, Data
Mining and Database
Technologies:
Innovative Approaches
David Taniar
Monash University, Australia
Li Chen
LaTrobe University, Australia
REFERENCE
Table of Contents
Preface
Section 1
Chapter 1
Temporal Data Warehousing: Approaches and TechniquesMatteo Golfarelli, DEIS - University ofBologna, ItalyStefano Rizzi, DEIS - University ofBologna, Italy
Chapter 2
Summarizing Datacubes: Semantic and Syntactic ApproachesRosine Cicchetti, Aix-Marseille Universites, France
Lotfi Lakhal, Aix-Marseille Universites, France
Sebastien Nedjar, Aix-Marseille Universites, France
Noel Novelli, Aix-Marseille Universites, France
Alain Casali, Aix-Marseille Universites, France
Chapter 3
A Parameterized Framework for Clustering Streams
Vasudha Bhatnagar, University ofDelhi, India
Sharanjit Kaur, University ofDelhi, India
Laurent Mignet, IBM, Indian Research Lab, India
Chapter 4
A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data
Guangzhu Yu, Donghua University, China
Shihuang Shao, Donghua University, China
BinLuo, Guangdong University ofTechnology, China
Xianhui Zeng, Donghua University, China
Section 2
Chapter 5Multidimensional Design Methods for Data Warehousing 78
Oscar Romero, Universitat Politecnica de Catalunya, SpainAlberto Abello, Universitat Politecnica de Catalunya, Spain
Chapter 6
On Handling the Evolution ofExternal Data Sources in a Data Warehouse Architecture 106
Robert Wrembel, Poznan University of Technology, Poland
Chapter 7
A Survey of Parallel and Distributed Data Warehouses 148
Pedro Furtado, Universidade Coimbra, Portugal
Section 3
Chapter 8
A Survey of Extract-Transform-Load Technology 171
Panos Vassiliadis, University ofIoannina, Greece
Chapter 9
A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining 200
Leticia Gomez, Instituto Tecnologico de Buenos Aires, ArgentinaBart Kuijpers, Hasselt University & Transnational University ofLimburg, BelgiumBart Moelans, Hasselt University & Transnational University ofLimburg, Belgium
Alejandro Vaisman, Universidad de la Republica, Uruguay
Chapter 10
A Survey of Open Source Tools for Business Intelligence 237
Christian Thomsen, Aalborg University, Denmark
Torben Bach Pedersen, Aalborg University, Denmark
Section 4
Chapter 11
Primary and Referential Horizontal Partitioning Selection Problems: Concepts, Algorithmsand Advisor Tool 258
Ladjel Bellatreche, University ofPoitiers, France
Kamel Boukhalfa, University ofPoitiers, France
Pascal Richard, University ofPoitiers, France
Chapter 12
What-IfApplication Design Using UML. 287
Matteo Golfarelli, University ofBologna, Italy
Stefano Rizzi, University ofBologna, Italy
Chapter 13
A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature 307
Min Song, New Jersey Institute of Technology, USA
Xiaohua Hu, Drexel University, USA
Illhoi Yoo, University ofMissouri, USA
Eric Koppel, New Jersey Institute of Technology, USA
Chapter 14
Reliability Estimates for Regression Predictions: Performance AnalysisZoran Bosnic, University ofLjubljana, Slovenia
Igor Kononenko, University ofLjubljana, Slovenia
320
Compilation ofReferences 339
About the Contributors 361
Index 368
