Introduction to Parallel Universes and Local Patterns

Parallel Universes and Local Patterns

计算机科学;物理学

Michael R. Berthold ; Katharina Morik ; Arno Siebes

Others  :  http://drops.dagstuhl.de/opus/volltexte/2007/1265/pdf/07181.SWM.Paper.1265.pdf
PID  :  10589

学科分类：计算机科学（综合）

来源: CEUR

【 摘 要 】

Learning in parallel universes and the mining for local patterns are both relatively new fields of research. Local pattern detection addresses the problem of identifying (small) deviations from an overall distribution of some underlying data in some feature space. Learning in parallel universes on the other hand,deals with the analysis of objects, which are given in different feature spaces, i.e.parallel universes; and the aim is on finding groups of objects, which show “interesting” behavior in some of these universes. So, while local patterns describe interesting properties of a subset of the overall space or set of objects, learning in parallel universes also aims at finding interesting patterns across different feature spaces or object descriptions. Dagstuhl Seminar 07181 on Parallel Universes and Local Patterns held in May 2007 brought together researchers with different backgrounds to discuss latest advances in both fields and to draw connectionsbetween the two.[First Paragraph]