Processing and Managing Complex Data for Decision Support

Published by

April 2006

Call for chapters
Chapter organization and format guidelines
Table of contents (including BibTeX entries)
Order the book from IDEA

Call for chapters

Processing and Managing Complex Data for Decision Support

Introduction

Nowadays, the data management community acknowledges the fact that data are not only numerical or symbolic, but that they may be:

represented in various formats (databases, texts, images, sounds, videos...);
diversely structured (relational databases, XML documents repository...);
originating from several different sources (distributed databases, the Web...);
described through several channels or points of view (radiographies and audio diagnosis of a physician, data expressed in different scales or languages...);
changing in terms of definition or value (temporal databases, periodical surveys...).

Data that fall in several of the above categories may be termed as complex data. Managing such data involves a lot of different issues regarding their structure, storage and processing. However, in many decision support fields (CRM, marketing, competition monitoring, medicine...), they are the real data that need to be exploited. Now that most decision support technologies such as data warehousing, on-line analysis (OLAP) or data mining have proven to be valuable on "simple" data, the issue of complex data must be addressed.

Overall objective of the book

The objective of this book is to provide an overall view of the field of complex data processing by bringing together various research studies, presumably in different subfields, and underlining the similarities between the different data, issues and approaches. The idea is also to show that many applications can benefit from the exploitation of other data than the ones they usually deal with.

Topics of interest

This list is non-exhaustive.

Complex data warehousing:

Complex data description languages and formats
Complex data integration
Complex data warehouse foundations, design and architectures
XML data warehousing
Complex data warehouse consistency and quality
Multidimensional modeling of complex data
OLAP on complex data
Maintenance and administration of complex data
Performance, optimization and tuning
Data warehouse benchmarks

Complex data mining:

Mining different data formats
Combining mining results from different sources
Mining data streams
Knowledge discovery in spatial, musical, biomedical data...
Multi-agent environments for concurrent mining of complex data
Human-machine interfaces for complex data mining
Combining OLAP and data mining for complex data analysis
Performance of complex data mining techniques

Metadata:

Using the RDF and MPEG standards for metadata representation
Metadata management
Interoperability and heterogeneity

Semantic content analysis for complex data retrieval

Important dates

October 15, 2004: Submission of proposals for chapters
November 1, 2004: Notification of proposal acceptance/rejection
January 15, 2005: Submission of full chapters
April 1, 2005: Notification of the chapter reviews (Defered to April 8, 2005)
May 15, 2005: Submission of revised chapters
July 1, 2005: Notification of final acceptance/rejection
July 8, 2005: Final version of chapters
December 2005: Chapter proofs by authors
January 2006: Editor proof
April 2006: Book release

Submission Guidelines

You are invited to submit a proposal of 2-5 pages describing the focus of your chapter. The proposal should also give the tentative organization of the chapter (section titles with section summaries).

Papers should be original and should not be submitted for publication or published elsewhere. Electronic submissions are required. All submitted chapters will be reviewed on a blind review basis.

The book is scheduled to be published in 2005 by Idea Group, Inc., publisher of the Idea Group Publishing, Information Science Publishing, IRM Press, CyberTech Publishing and Idea Group Reference imprints.

Contact

Please e-mail your proposal or questions to:

Jérôme Darmont and Omar Boussaïd
ERIC, University of Lyon 2
5 avenue Pierre Mendès-France
69676 Bron Cedex
France

E-mail: cdbook_AT_eric_DOT_univ-lyon2_DOT_fr

Book web page: http://eric.univ-lyon2.fr/~jdarmont/cdbook/

Chapter organization and format guidelines

Guidelines for Preparing Chapters (224 KB)
Author Warranty and Copyright Transfer (161 KB)
Author Checklist (84 KB)
Author Indexing Guide (27 KB)

Book cover (big size)

Foreword by Georges Gardarin

Complex Data Warehousing
- M.L. Damiani, S. Spaccapietra, "Spatial Data Warehouse Modelling" [BibTeX]
- V. Nassis, T.S. Dillon, W. Rahayu, R. Rajugan, "Goal-Oriented Requirement Engineering for XML Document Warehouses" [BibTeX]
- S. Abiteboul, B. Nguyen, G. Ruberg, "Building an Active Content Warehouse" [BibTeX]
- A. Badia, "Text Warehousing: Present and Future" [BibTeX]
- J. Rech, "Morphology, Processing, and Integrating of Information from Large Source Code Warehouses for Decision Support" [BibTeX]
- G. Shankaranarayanan, A. Even, "Managing Metadata in Decision Environments" [BibTeX]
- R.S. Monteiro, G. Zimbrão, H. Schwarz, B. Mitschang, J.M. de Souza, "DWFIST: The Data Warehouse of Frequent Itemsets Tactics Approach" [BibTeX]
Complex Data Mining
- T. Dalamagas, T. Cheng, T. Sellis, "On the Usage of Structural Distance Metrics for Mining Hierarchical Structures" [BibTeX]
- G. Guerrini, M. Mesiti, E. Bertino, "Evaluation and Applications of Structural Similarity Measures in Sources of XML Documents" [BibTeX]
- B. Catania, A. Maddalena, "Pattern Management: Practice and Challenges" [BibTeX]
- H. Azzag, F. Picarougne, C. Guinot, G. Venturini, "VRMiner: A Tool for Multimedia Database Mining with Virtual Reality" [BibTeX]
- I. Karydis, A. Nanopoulos, Y. Manolopoulos, "Mining in Music Databases" [BibTeX]
- J. Han, L. Gruenwald, T. Conway, "Data Mining in Gene Expression Data Analysis: A Survey" [BibTeX]