Title: Mining relational databases
Authors: Blockeel, Hendrik #
Issue Date: 2009
Host Document: Intelligent Data Analysis in bioMedicine and Pharmacology, Workshop Notes pages:1-1
Conference: Intelligent Data Analysis in bioMedicine and Pharmacology edition:14 location:Verona, Italy date:19 July 2009
Abstract: Standard methods for data mining and statistical analysis typically assume data to be in a relatively simple "attribute-value" format. In practice, data are often stored in relational databases with a relatively complex structure: relevant information for an individual may be spread over multiple tables in the database, may consist of
complex objects such as time series, etc. It is an open question how such diverse kinds of data can be integrated in an optimal way in the data mining process. In this
talk I will discuss some of the challenges and how they can be addressed. The concepts will be illustrated through an application of data mining in intensive care.
Description: Invited talk
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section
# (joint) last author

Files in This Item:
File Description Status SizeFormat
idamap.pdfPresentation Published 19007KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.