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Interactive Redescription Mining

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45046

Miettinen,  Pauli
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

Galbrun, E., & Miettinen, P. (2014). Interactive Redescription Mining. In C. Dyresson, & F. Li (Eds.), SIGMOD'14 (pp. 1079-1082). New York, NY: ACM. doi:10.1145/2588555.2594520.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0024-4987-F
Zusammenfassung
Exploratory data analysis consists of multiple iterated steps: a data mining method is run on the data, the results are interpreted, new insights are formed, and the resulting knowl- edge is utilized when executing the method in a next round, and so on until satisfactory results are obtained. We focus on redescription mining, a powerful data analysis method that aims at finding alternative descriptions of the same entities, for example, ways to characterize geographical regions in terms of both the fauna that inhabits them and their bioclimatic conditions, so-called bioclimatic niches. We present Siren, a tool for interactive redescription min- ing. It is designed to facilitate the exploratory analysis of data by providing a seamless environment for mining, visu- alizing and editing redescriptions in an interactive fashion, supporting the analysis process in all its stages. We demon- strate its use for exploratory data mining. Simultaneously, Siren exemplifies the power of the various visualizations and means of interaction integrated into it; Techniques that reach beyond the task of redescription mining considered here, to other analysis methods.