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ADAMS

beta

ADAMS is a workflow engine for building complex knowledge workflows.

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Description

The Advanced Data mining and Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how the data is being processed (sequentially or parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators.

Operators offer machine learning using WEKA and MOA, image processing with ImageJ, JAI, ImageMagick and Gnuplot. The R-Project can be used in the flow using Rserve. The WEKA webservice allows other frameworks to use WEKA's models. Fast prototyping is available through scripting languages such as Groovy and Jython. GIS support is possible with the OpenStreetMap integration.

ADAMS Web Site

Features

  • workflow
  • weka
  • meka
  • moa
  • jython
  • groovy
  • jai
  • boofcv
  • lire
  • imagej
  • imagemagick
  • raw
  • qrcode
  • gnuplot
  • ssh
  • sftp
  • compression
  • r-project
  • timeseries
  • webservice
  • pdf
  • gis
  • openstreetmap
  • msexcel
  • odf
  • gnumeric
  • msaccess
  • mysql
  • sqlite
  • jdbc
  • deeplearning4j

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Additional Project Details

Languages

English

Intended Audience

Science/Research

User Interface

Java Swing

Programming Language

Java

Registered

2012-10-01

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