Assisted descriptor selection based on visual comparative data analysis

Bremm, Sebastian; Landesberger, Tatiana von; Bernard, Jürgen; Schreck, Tobias

Assisted descriptor selection based on visual comparative data analysis

Dateien

Schreck_Assisted Descriptor.pdfGröße: 5.76 MBDownloads: 736

Datum

2011

Autor:innen

Bremm, Sebastian

Landesberger, Tatiana von

Bernard, Jürgen

Schreck, Tobias

Projekt

Visual feature space analysis SPP 1335

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Computer Graphics Forum. 2011, 30(3), pp. 891-900. ISSN 0167-7055. Available under: doi: 10.1111/j.1467-8659.2011.01938.x

Zusammenfassung

Exploration and selection of data descriptors representing objects using a set of features are important components in many data analysis tasks. Usually, for a given dataset, an optimal data description does not exist, as the suitable data representation is strongly use case dependent. Many solutions for selecting a suitable data description have been proposed. In most instances, they require data labels and often are black box approaches. Non-expert users have difficulties to comprehend the coherency of input, parameters, and output of these algorithms. Alternative approaches, interactive systems for visual feature selection, overburden the user with an overwhelming set of options and data views. Therefore, it is essential to offer the users a guidance in this analytical process. In this paper, we present a novel system for data description selection, which facilitates the user’s access to the data analysis process. As finding of suitable data description consists of several steps, we support the user with guidance. Our system combines automatic data analysis with interactive visualizations. By this, the system provides a recommendation for suitable data descriptor selections. It supports the comparison of data descriptors with differing dimensionality for unlabeled data. We propose specialized scores and interactive views for descriptor comparison. The visualization techniques are scatterplot-based and grid-based. For the latter case, we apply Self-Organizing Maps as adaptive grids which are well suited for large multi-dimensional data sets. As an example, we demonstrate the usability of our system on a real-world biochemical application.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Information Interfaces and Presentation, Pattern Recognition, Design Methodology, Feature evaluation and selection

Zitieren

ISO 690

BREMM, Sebastian, Tatiana von LANDESBERGER, Jürgen BERNARD, Tobias SCHRECK, 2011. Assisted descriptor selection based on visual comparative data analysis. In: Computer Graphics Forum. 2011, 30(3), pp. 891-900. ISSN 0167-7055. Available under: doi: 10.1111/j.1467-8659.2011.01938.x

BibTex

@article{Bremm2011Assis-14920,
  year={2011},
  doi={10.1111/j.1467-8659.2011.01938.x},
  title={Assisted descriptor selection based on visual comparative data analysis},
  number={3},
  volume={30},
  issn={0167-7055},
  journal={Computer Graphics Forum},
  pages={891--900},
  author={Bremm, Sebastian and Landesberger, Tatiana von and Bernard, Jürgen and Schreck, Tobias}
}

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Universitätsbibliographie

Ja