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Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media

  • Martin Atzmüller
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9580)

Abstract

Exploratory analysis of ubiquitous data and social media includes resources created by humans as well as those generated by sensor devices. This paper reviews recent advances concerning according approaches and methods, and provides additional review and discussion. Specifically, we focus on exploratory pattern analytics implemented using subgroup discovery and exceptional model mining methods, and put these into context. We summarize recent work on description-oriented community detection, spatio-semantic analysis using local exceptionality detection, and class association rule mining for activity recognition. Furthermore, we discuss results and implications.

Keywords

Association Rule Quality Function Community Detection Basic Pattern Target Concept 
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.

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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Research Center for Information System DesignUniversity of KasselKasselGermany

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