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[Dbworld] Call for chapters: msg#00145db.dbworld
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 that 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 May 15, 2005: Submission of revised chapters July 1, 2005: Notification of final acceptance/rejection July 15, 2005: Final version of chapters * 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: Jerome Darmont and Omar Boussaid ERIC, University of Lyon 2 5 avenue Pierre Mendes-France 69676 Bron Cedex France E-mail: cdbook-aqNk/Nfiapu/yem0rkCUM0Za+K1vlBrA@xxxxxxxxxxxxxxxx Book web page: http://eric.univ-lyon2.fr/~jdarmont/cdbook/ _______________________________________________ Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms. To unsubscribe, go to http://lists.cs.wisc.edu/mailman/listinfo/dbworld |
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