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Auflistung nach Autor:in "Kunzmann, Dierk"

1 - 2 von 2
  • Konferenzbeitrag
    Data Quality, Abstraction and Aggregation in the LEDA Traitbase
    (Sh@ring – EnviroInfo 2004, 2004) Stadler, Michael; Kunzmann, Dierk; Schlegelmilch, Jürgen; Sonnenschein, Michael
    In providing an open European-wide web-based database of plant traits relevant for the conservation and sustainable use of biodiversity in changing European landscapes, the LEDA project aims to support different user groups by providing information about plant traits related to the key features of plant dynamics. The trait database (Traitbase) is currently built from scattered national database initiatives, literature sources and new measurements contributed by persons from the ecological and botanical research community. Here, we discuss the problems of data processing and output customisation arising from the different information needs of three user groups and the heterogeneous data quality in the Traitbase due to the different types of data sources. To this end, we first identify the user groups and their needs. Then, we introduce the terms aggregation and abstraction for the given context. After this, we discuss issues of data quality and finally we go into details of the aggregation methods preferred in generating output for the different user groups.
  • Konferenzbeitrag
    Using Data Mining Techniques for Exploring the key Features of Plant Dynamics Upon a Newly Built Plant Trait Database
    (Informatics for Environmental Protection - Networking Environmental Information, 2005) Stadler, Michael; Bekker, Renée M.; Finke, Jens; Kunzmann, Dierk; Sonnenschein, Michael
    Most data mining techniques have rarely been used in ecology. To address the specific needs of scientists analysing data from a plant trait database developed during the LEDA project, a web-based data mining tool has been developed. This paper presents the DIONE data miner and the project it has been developed in. It addresses the nature of plant trait data from a data mining perspective and points out problems that arise when preparing data for being mined. Furthermore it contains information about data mining results on plant trait data achieved so far and conclusions towards the applicability of data mining to the fields of ecology, and the newly emerging field of research recently addressed as ecoinformatics.