KNIME - the Konstanz information miner-Reference-Cited by-同舟云学术

KNIME - the Konstanz information miner

Published:2009-11-16 Issue:1 Volume:11 Page:26-31
ISSN:1931-0145
Container-title:ACM SIGKDD Explorations Newsletter
language:en
Short-container-title:SIGKDD Explor. Newsl.

Author:

Berthold Michael R.¹,Cebron Nicolas¹,Dill Fabian¹,Gabriel Thomas R.¹,Kötter Tobias¹,Meinl Thorsten¹,Ohl Peter¹,Thiel Kilian¹,Wiswedel Bernd¹

Affiliation:

1. University of Konstanz, Konstanz, Germany

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, briey sketch how new nodes can be incorporated, and highlight some of the new features of version 2.0.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/1656274.1656280

Reference13 articles.

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4. Ian H. Witten and Eibe Frank (2005). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann San Francisco 2nd edition. Ian H. Witten and Eibe Frank (2005). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann San Francisco 2nd edition.

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