Data Mining Software | Angoss KnowledgeSEEKER

Angoss KnowledgeSEEKER is a data mining software developed by Angoss Software Corporation. It is developed for commercial purpose and has been around in the market since the 90’s.

It provides a powerful set of features like importing data from various sources, sampling and preparing them before applying a wide range of techniques to mine the data. It comes with a wide range of advanced tools to explore and visualize data.

It can be used to build decision support software through its capability of processing decision tree and other algorithms. It can be used to identify segments from the data which can then be used for focused marketing. It provides users sets of business intelligence tools that allow applying data mining techniques to predict and analyze data with an easy to use and understand user interface.

Data Mining Software | RapidMiner

RapidMiner is the new name given to what used to be known as YALE (Yet Another Learning Environment). It is one of the most useful and free open source data mining software available today. It is developed using the JAVA programming language and is capable of carrying out text mining, feature engineering, data stream mining, distributed data mining and multimedia mining. It is very flexible to use as users can use it through its GUI, command line or from other programs using the JAVA API. It also enables machine learning through the powerful library WEKA.

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.

Data Mining Software | Oracle Data Mining (ODM)

Oracle Data Mining (ODM) is a powerful tool bundled with the Oracle RDBMS. It provides fast and easy way to develop BI applications based on the data stored in the Oracle RDBMS. ODM SQL and Java APIs can be used to develop and deploy applications. It allows data stored in the Oracle RDBMS to be mined automatically. Real time results can be generated as the data, models and results all resided in the database and no additional data movement is required.

Data Mining Software | SQL Server Analysis Services

Microsoft SQL Server has come a long way in establishing itself as a strong tool in the field of business intelligence and data mining. The SQL Server Analysis Services (SSAS) provide a wide range of data analysis and mining methodologies to build robust and feature rich BI solutions for various market segments. Starting from SQL Server 2000 Microsoft has substantially upgraded the analysis services in SQL Server 2005 and SQL Server 2008. This makes the development of BI solutions easier and less time consuming.