Intelligent Data Analysis in the 21st Century

Paul Cohen, Niall Adams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


When IDA began, data sets were small and clean, data provenance and management were not significant issues, workflows and grid computing and cloud computing didn't exist, and the world was not populated with billions of cellphone and computer users. The original conception of intelligent data analysis - automating some of the reasoning of skilled data analysts - has not been updated to account for the dramatic changes in what skilled data analysis means, today. IDA might update its mission to address pressing problems in areas such as climate change, habitat loss, education, and medicine. It might anticipate data analysis opportunities five to ten years out, such as customizing educational trajectories to individual students, and personalizing medical protocols. Such developments will elevate the conference and our community by shifting our focus from arbitrary measures of the performance of isolated algorithms to the practical, societal value of intelligent data analysis systems.

Original languageEnglish (US)
Title of host publicationAdvances in Intelligent Data Analysis VIII - 8th International Symposium on Intelligent Data Analysis, IDA 2009, Proceedings
Number of pages9
StatePublished - Oct 16 2009
Event8th International Symposium on Intelligent Data Analysis, IDA 2009 - Lyon, France
Duration: Aug 31 2009Sep 2 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5772 LCNS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th International Symposium on Intelligent Data Analysis, IDA 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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