Data mining Software | SPSS Clementine

SPSS Clementine is a popular data mining software introduced by SPSS Inc. It is powerful toolkit which can be used by users to carry out data mining without the help of experts. It's user friendly GUI makes it easy for use. Clementine is used by a large number of organizations for a wide range of data mining activities like customer segmentation, detection of fraudulent transactions, forecasting and so on. It is renamed as PASW Modeler on April, 2009 by SPSS Inc.

Data Mining Software | SAS® Enterprise Miner

SAS Enterprise Miner simplifies the steps of data mining and produces models based on huge data from various sources with high degree of accuracy. It is used to predict demands, in the detection of frauds in the banking sector and in many other areas of applications for data mining. It is equipped with a powerful bundle of tools which makes it easy and fast to build models and at the same time ensures accuracy of the result.

Data Mining Software | DB2 Intelligent Miner

DB2 Intelligent Miner is introduced in the Business intelligence industry by IBM. It can be used in various lines of business to find new and interesting insights out of the transaction data which are valuable to take great business decisions. It can be used in identifying frauds, customer segments or to carry out the market basket analysis which can be helpful in reducing attrition rate and boost sales by cross selling or targeted marketing. The in-database mining capabilities allows it to be able to integrate with existing systems easily.

Data Mining Software | MATLAB

MATLAB or Matrix Laboratory is an excellent programming language used extensively in a wide range of areas like image processing, signal processing, mathematical and statistical analysis and many others. MATLAB is now widely used for data mining because of its ability to handle the various stages of data mining. It is well equipped with a number of powerful toolboxes like:

1. MathWorks Neural Network Toolbox
2. Fuzzy Clustering and Data Analysis Toolbox
3. Association Rule Miner and Deduction Analysis Tool
4. Decision Tree

Along with these toolboxes it has a powerful graphical capabilities. The time required to solve problems of data mining can be easily solved in a much less time with MATLAB compared to other languages.