The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In this paper we describe some of the design aspects of the underlying architecture and briefly sketch how new nodes can be incorporated.
Studies in Classification, Data Analysis, and Knowledge Organization
keyword
Computer Science
isbn
978-3-540-78246-9
affiliation
University of Konstanz ALTANA Chair for Bioinformatics and Information Mining, Department of Computer and Information Science Box M712 78457 Konstanz Germany
%0 Book Section
%1 berthold2008knime
%A Berthold, Michael R.
%A Cebron, Nicolas
%A Dill, Fabian
%A Gabriel, Thomas R.
%A Kötter, Tobias
%A Meinl, Thorsten
%A Ohl, Peter
%A Sieb, Christoph
%A Thiel, Kilian
%A Wiswedel, Bernd
%B Data Analysis, Machine Learning and Applications
%C Berlin Heidelberg
%D 2008
%E Preisach, Christine
%E Burkhardt, Hans
%E Schmidt-Thieme, Lars
%E Decker, Reinhold
%I Springer
%K diplom knime
%P 319-326
%R 10.1007/978-3-540-78246-9_38
%T KNIME: The Konstanz Information Miner
%U http://dx.doi.org/10.1007/978-3-540-78246-9_38
%X The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In this paper we describe some of the design aspects of the underlying architecture and briefly sketch how new nodes can be incorporated.
%@ 978-3-540-78246-9
@incollection{berthold2008knime,
abstract = {The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In this paper we describe some of the design aspects of the underlying architecture and briefly sketch how new nodes can be incorporated.},
added-at = {2011-11-06T13:07:40.000+0100},
address = {Berlin Heidelberg},
affiliation = {University of Konstanz ALTANA Chair for Bioinformatics and Information Mining, Department of Computer and Information Science Box M712 78457 Konstanz Germany},
author = {Berthold, Michael R. and Cebron, Nicolas and Dill, Fabian and Gabriel, Thomas R. and Kötter, Tobias and Meinl, Thorsten and Ohl, Peter and Sieb, Christoph and Thiel, Kilian and Wiswedel, Bernd},
biburl = {https://www.bibsonomy.org/bibtex/257069d8aba1bc7d2fce80a0636c975df/lutzm},
booktitle = {Data Analysis, Machine Learning and Applications},
description = {SpringerLink - Abstract},
doi = {10.1007/978-3-540-78246-9_38},
editor = {Preisach, Christine and Burkhardt, Hans and Schmidt-Thieme, Lars and Decker, Reinhold},
interhash = {9aca7152014aa081379707562633ed0e},
intrahash = {57069d8aba1bc7d2fce80a0636c975df},
isbn = {978-3-540-78246-9},
keyword = {Computer Science},
keywords = {diplom knime},
pages = {319-326},
publisher = {Springer},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
timestamp = {2011-11-06T13:07:40.000+0100},
title = {KNIME: The Konstanz Information Miner},
url = {http://dx.doi.org/10.1007/978-3-540-78246-9_38},
year = 2008
}