12 top Data Mining Tools highly Useful for Data Projects

Data mining is the concept extracting relationships and patterns from the data of operational systems.

The main advantage is we can predict the relationship/Patterns.

This is fast growing technology. In the market many tools are available. Each has its own merits and demerits. Basically you need data warehousing knowledge to get further into mining:

Available Tools (source dataminingtools)

  1. Clementine from SPSS, leading visual rapid modeling environment for data mining. Now includes Clementine Server.
  2. Data Applied, offers a comprehensive suite of web-based data mining techniques, an XML web API, and rich data visualizations.
  3. IBM Intelligent Miner Data Mining Suite, now fully integrated into the IBM InfoSphere Warehouse software; includes Data and Text mining tools (based on UIMA).
  4. KXEN(Knowledge eXtraction ENgines), providing Vapnik SVM (Support Vector Machines) tools, including data preparation, segmentation, time series, and SVM classifiers.
  5. Microsoft SQL Server 2008, empowers informed decisions with predictive analysis through intuitive data mining, seamlessly integrated within the Microsoft BI platform, and extensible into any application.
  6. Oracle Data Mining (ODM), provides GUI, PL/SQL-interface, and Java-interface to Attribute Importance, Bayes Classification, Association Rules, Clustering, SVM, and more.
  7. Salford Systems Data Mining Suite: CART Decision Trees, MARS predictive modeling, automated regression, TreeNet classification and regression, data access, preparation, cleaning and reporting modules, RandomForests predictive modeling, clustering and anomaly detection.
  8. SAS Enterprise Miner, an integrated suite which provides a user-friendly GUI front-end to the SEMMA (Sample, Explore, Modify, Model, Assess) process.
  9. SPSSfeaturing Clementine, SPSS and other data mining tools.
  10. Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system.
  11. Teradata Warehouse Miner and Teradata Analytics, providing analytic services for in-place mining on a Teradata DBMS.
  12. XLMiner, Data Mining Add-In For Excel.

 Free and Shareware

  • AlphaMiner, open source data mining platform that offers various data mining model building and data cleansing functionality.
  • Gnome Data Mining Tools, including apriori, decision trees, and Bayes classifiers.
  • IBM Intelligent Miner. University scholars can now receive free copies of DB2 UDB and Intelligent Miner for educational or research purposes.
  • KNIME, extensible open source data mining platform implementing the data pipelining paradigm (based on eclipse).
  • Machine Learning in Java (MLJ), an open-source suite of Java tools for research in machine learning.
  • MLC++, a machine learning library in C++. Kansas State U. port of MLC++: Binary (tar.gz), and Linux source
  • Orange, C++ components for data mining,includes preprocessing, modelling and data exploration techniques.
  • RapidMiner, a leading open-source system for knowledge discovery and data mining.
  • Weka, collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform.
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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.