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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

   The first step of every data mining project involves accessing data. KNIME provides robust support for hundreds of formats, including CSV files, formatted text files, Excel workbooks, web services, databases, big data platforms, and proprietary file formats from various software tools.

4. 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.

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. 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 .

7. 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. One of its main aims from the outset was to eliminate needless complexity ...

8. Microsoft Analysis Services - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Analysis_Services

   Microsoft SQL Server Analysis Services ( SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files. Microsoft has included a number of services in ...

9. Oracle Data Mining - Wikipedia

   en.wikipedia.org/wiki/Oracle_Data_Mining

   Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. It provides means for the creation, management and operational ...