LinuxLinks.com
Newbies What Next ? News Forums Calendar

Search





News Sections
Home
General News (3973/0)
Reviews (628/0)
Press Releases (464/0)
Distributions (187/0)
Software (870/0)
Hardware (522/0)
Security (192/0)
Tutorials (345/0)
Off Topic (181/0)


User Functions
Username:

Password:

Don't have an account yet? Sign up as a New User


Events
There are no upcoming events




KNIME

KNIME

KNIME (Konstanz Information Miner) is a coherent and comprehensive open source visual platform for data integration, processing, analysis, reporting and exploration. It enables users to visually create data flows (often referred to as pipelines), selectively execute some or all analysis steps, and later investigate the results through interactive views on data and models.

KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. The graphical user interface enables users to assemble nodes for data preprocessing, for modeling and data analysis and visualization.

KNIME is based on the Eclipse Interactive Development Environment and, through its modular API, it is easily extensible.

 KNIME 2.8.1

Price
Free to download

Size
174MB
License

GNU GPL v3

Developer
KNIME.com GmbH

Website
www.knime.org

System Requirements
Java Runtime Environment

Support:
Documentation, FAQ, Quickstart Guide, Forums, Tutorial

Selected Reviews:
voyagememoirs

Features include:

  • Scalability through sophisticated data handling (intelligent automatic caching of data in the background while maximizing throughput performance)
  • High, simple extensibility via a well-defined API for plugin extensions
  • Intuitive user interface
  • Import/export of workflows (for exchanging with other KNIME users)
  • Parallel execution on multi-core systems
  • Command line version for "headless" batch executions
  • Incorporates over 100 processing nodes for data I/O retrieving data from files or databases
  • Preprocessing and cleansing with filtering, group-by, pivoting, binning, normalization, aggregation, joining, sampling, partitioning, and more
  • Modeling
  • Analysis
  • Data mining:
    • Clustering
    • Rule induction
    • Decision tree
    • Association rules
    • Na´ve bayes
    • Neural networks
    • Support vector machines
  • Various interactive views allowing for interactive data exploration including:
    • Box Plot - displays robust statistical parameters: minimum, lower quartile, median, upper quartile, and maximum. These parameters called robust, since they are not sensitive to extreme outliers
    • Conditional Box Plot - partitions the data of a numeric column into classes according to another nominal column and creates a box plot for each of the classes
    • Histogram - displays a histogram view with different viewing options
    • Histogram (interactive) - displays an interactive histogram view with different viewing options. The interactive histogram supports hiliting and the changing of the x axis and aggregation column on the fly
    • Interactive Table - displays data in a table view
    • Lift Chart - used to evaluate a predictive model. The higher the lift (the difference between the "lift" line and the base line), the better performs the predictive model
    • Line Plot - plots the numeric columns of the input table as lines
    • Parallel coordinates - a representation of multi-dimensional information or data, in which multiple dimensions are allocated one-to-one to an equal number of parallel axes on-screen
    • Pie chart - displays a pie chart with different viewing options
    • Pie chart (interactive) - displays an interactive pie chart with different viewing options. The interactive pie chart supports hiliting and the changing of the pie and aggregation column on the fly
    • Scatter Matrix - each matrix element Eij is a scatterplot of the columns i and j, where the values of the i-th column are displayed at the x axis and the values of the j-th column at the y axis while the coordinates are displayed alternating on all sides of the plot
    • Scatter plot - creates a scatterplot of two selectable attributes
  • Integrates analysis modules of the Weka data mining environment

KNIME in action

Return to Data Mining Home Page | Return to Business Intelligence Home Page

Bookmark and Share


Last Updated Monday, May 26 2014 @ 11:21 AM EDT


We have written a range of guides highlighting excellent free books for popular programming languages. Check out the following guides: C, C++, C#, Java, JavaScript, CoffeeScript, HTML, Python, Ruby, Perl, Haskell, PHP, Lisp, R, Prolog, Scala, Scheme, Forth, SQL, Node.js (new), Fortran (new), Erlang (new), Pascal (new), and Ada (new).


Group Tests
All Group Tests

Top Free Software
6 Office Suites
7 Document Processors
6 Lean Desktops
6 Desktop Search
9 Project Management
9 Groupware Apps
14 File Managers
10 Databases
21 Backup Tools
21 DVD Tools
21 Window Managers
21 Productivity Tools
9 Terminal Emulators
21 Financial Tools
21 Text Editors
21 Video Emulators
21 Home Emulators
42 Graphics Apps
6 CAD Apps
42 Scientific Apps
10 Web Browsers
42 Email Apps
12 Instant Messaging
10 IRC Clients
7 Twitter Clients
12 News Aggregators
11 VoIP Apps
11 Remote Display Apps
42 Best Games
42 More Games
21 More Games
21 Notable Games (1)
21 Notable Games (2)
21 Notable Games (3)
8 ASCII Games
9 Educational Games
42 Audio Apps
42 Video Apps
6 Screencasting Apps
80 Security Apps
9 System Monitoring
6 Family History Apps
11 PDF Tools
6 Music Servers
6 Collection Managers
7 Calculator Apps
8 Geometry Apps
Free Console Apps
14 Multimedia
Programming
8 Compilers
9 IDEs
9 Debuggers
7 Revision Control Apps
6 Doc Generators
'Free' Proprietary
21 Closed-Source Apps
Top Commercial Apps
42 Games
Free Web Software
21 Web CMS
14 Wiki Engines
8 Blog Apps
6 eCommerce Apps
5 Human Resource Apps
10 ERP
10 CRM
6 Data Warehouse Apps
8 Business Intelligence
6 Point-of-Sale

All Group Tests

Other Articles
Migrating from Windows
Back up your data
Distribution Guide
Distro Portal Pages
20 Free Linux Books
Running Linux Under Windows


Older Stories
Monday 06/02
  • Delightful ASCII Art Tools (0)

  • Saturday 05/31
  • Best Tools for Network Inventory Management (0)

  • Sunday 05/25
  • Grab 24 Beautifully Scribed Free Programming Books (0)
  • 6 Invaluable Free Ada Books (0)

  • Thursday 05/15
  • 4 Best Free Pascal Books (0)

  • Saturday 05/10
  • 5 Best Free Erlang Books (0)

  • Sunday 05/04
  • The 9 Best Free Fortran Books (0)

  • Thursday 05/01
  • 5 Best Free Node.js Introductory Books (0)

  • Sunday 04/27
  • Tools to Empower Librarians (0)

  • Saturday 04/19
  • Create Vector Graphics with Open Source Software (0)


  • Vote

    What do you find MOST attractive about Open Source software?

    Amount of customization
    Security
    Freedom provided
    Speed of development
    Quality
    Multiple versions
    Cost
    Potential to contribute
    Ability to modify code
    Results
    4807 votes | 2 comments

    Built with GeekLog and phpBB
    Comments to the webmaster are welcome
    Copyright 2009 LinuxLinks.com - All rights reserved