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ORANGE TOOLS
INTRODUCTION
 Orange is a collection of Python-based modules
that sit over the core library of C++ objects and
routines that handles machine learning and data
mining algorithms.
 It is an open source.
 Orange widgets provide a graphical users
interface to Oranges data mining and machine
learning methods.
FEATURES OF ORANGE
Open and free software: Orange is an open
source and free data mining software tool.
Platform independent software: Orange is
supported on various versions of Linux, Microsoft
windows, and Apple Mac.
Programming support: Orange supports visual
programming tools for Data mining.
Scripting Interface: Orange provides python
scripting.
ORANGE DEVELOPMENTS
 In1997-developed in Bioinformatics Laboratory
of the Faculty of Computer and Information
Science, Slovenia.
 In 2005- extents data analysis in bioinformatics
 In 2008- installation packages were developed.
 In 2009- over 100 widgets were created and
maintained.
WHY USE ORANGE ?
 No programming needed - Visual programming
 Data visualization
 Easy to try different machine learning algorithms
 Add-ons for : bioinformatics, network analysis,
text mining.
 Free and open source software
INSTALLING FOR WINDOWS
Browse the URI : http://orange.biolab.si/
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange
Data Mining Tools / Orange

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Data Mining Tools / Orange

  • 2. INTRODUCTION  Orange is a collection of Python-based modules that sit over the core library of C++ objects and routines that handles machine learning and data mining algorithms.  It is an open source.  Orange widgets provide a graphical users interface to Oranges data mining and machine learning methods.
  • 3. FEATURES OF ORANGE Open and free software: Orange is an open source and free data mining software tool. Platform independent software: Orange is supported on various versions of Linux, Microsoft windows, and Apple Mac. Programming support: Orange supports visual programming tools for Data mining. Scripting Interface: Orange provides python scripting.
  • 4. ORANGE DEVELOPMENTS  In1997-developed in Bioinformatics Laboratory of the Faculty of Computer and Information Science, Slovenia.  In 2005- extents data analysis in bioinformatics  In 2008- installation packages were developed.  In 2009- over 100 widgets were created and maintained.
  • 5. WHY USE ORANGE ?  No programming needed - Visual programming  Data visualization  Easy to try different machine learning algorithms  Add-ons for : bioinformatics, network analysis, text mining.  Free and open source software
  • 6. INSTALLING FOR WINDOWS Browse the URI : http://orange.biolab.si/

Notes de l'éditeur

  1. Data
  2. Visualization widgets