DW – Data Mining Tools

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)

  • Clementine from SPSS, leading visual rapid modeling environment for data mining. Now includes Clementine Server.
  • Data Applied, offers a comprehensive suite of web-based data mining techniques, an XML web API, and rich data visualizations.
  • IBM Intelligent Miner Data Mining Suite, now fully integrated into the IBM InfoSphere Warehouse software; includes Data and Text mining tools (based on UIMA).
  • KXEN(Knowledge eXtraction ENgines), providing Vapnik SVM (Support Vector Machines) tools, including data preparation, segmentation, time series, and SVM classifiers.
  • 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.
  • Oracle Data Mining (ODM), provides GUI, PL/SQL-interface, and Java-interface to Attribute Importance, Bayes Classification, Association Rules, Clustering, SVM, and more.
  • 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.
  • SAS Enterprise Miner, an integrated suite which provides a user-friendly GUI front-end to the SEMMA (Sample, Explore, Modify, Model, Assess) process.
  • SPSSfeaturing Clementine, SPSS and other data mining tools.
  • Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system.
  • Teradata Warehouse Miner and Teradata Analytics, providing analytic services for in-place mining on a Teradata DBMS.
  • 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.