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  2. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

  3. Tanagra (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tanagra_(machine_learning)

    Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. [1] [2] Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...

  4. ELKI - Wikipedia

    en.wikipedia.org/wiki/ELKI

    Version 0.4 (September 2011) added algorithms for geo data mining and support for multi-relational database and index structures. [ 10 ] Version 0.5 (April 2012) focuses on the evaluation of cluster analysis results, adding new visualizations and some new algorithms.

  5. Category:Data mining - Wikipedia

    en.wikipedia.org/wiki/Category:Data_mining

    Download as PDF; Printable version; ... Data mining facilities are included in some of the Category: ... Data mining algorithms (2 C, 6 P)

  6. SPSS Modeler - Wikipedia

    en.wikipedia.org/wiki/SPSS_Modeler

    IBM SPSS Modeler is a data mining and text analytics software application from IBM.It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.

  7. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...

  8. Category:Data mining algorithms - Wikipedia

    en.wikipedia.org/.../Category:Data_mining_algorithms

    Download as PDF; Printable version; In other projects Wikidata item; ... Pages in category "Data mining algorithms" The following 6 pages are in this category, out of ...

  9. List of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical-analysis...

    ELKI a software framework for development of data mining algorithms in Java. GAUSS, a matrix programming language for mathematics and statistics. GNU Data Language, a free compiler designed as a drop-in replacement for IDL. IDL, [21] a commercial interpreted language based on FORTRAN with some vectorization.