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From Patterns to Discoveries

  • Michael R. Berthold
Chapter

Abstract

Data mining started off by finding clearly defined patterns in large sets of relatively homogeneous data. Over the years, increasingly complex data sources were tackled. As a result, newly developed methods grew in complexity, but the basic assumption that the type of pattern sought for was known beforehand remained a constant. I argue that we will ultimately require new systems which enable users to gain new, often surprising insights before they can even determine how to fine-tune and/or validate the patterns themselves.

Keywords

Data Mining Data Mining Algorithm Holy Grail Life Science Industry Life Science Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Nycomed-Chair for Bioinformatics and Information Mining, Department of Computer and Information Science, Graduate School on Chemical Biology (KoRS-CB)University of KonstanzKonstanzGermany

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