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2. Data mining - Wikipedia

   en.wikipedia.org/wiki/Data_mining

   t. e. Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from ...

3. KNIME - Wikipedia

   en.wikipedia.org/wiki/KNIME

   KNIME ( / naɪm / ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept. A graphical user interface and use of JDBC allows assembly of ...

4. Orange (software) - Wikipedia

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

   Orange is a component-based visual programming software package for data visualization, machine learning, data mining, and data analysis . Orange components are called widgets. They range from simple data visualization, subset selection, and preprocessing to empirical evaluation of learning algorithms and predictive modeling .

5. Weka (software) - Wikipedia

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

   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".

6. 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. · Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...

7. R (programming language) - Wikipedia

   en.wikipedia.org/wiki/R_(programming_language)

   R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. [8] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

8. Examples of data mining - Wikipedia

   en.wikipedia.org/wiki/Examples_of_data_mining

   In business, data mining is the analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to assist in discovering previously unknown strategic business ...

9. Cross-industry standard process for data mining - Wikipedia

   en.wikipedia.org/wiki/Cross-industry_standard...

   The computer giant NCR Corporation produced the Teradata data warehouse and its own data mining software. Daimler-Benz had a significant data mining team. OHRA was starting to explore the potential use of data mining. The first version of the methodology was presented at the 4th CRISP-DM SIG Workshop in Brussels in March 1999, and published as ...