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Support Vector Machines Data Mining Plug-in in Analysis Services
The datamining Support Vector Machine (SVM) plug-in in MS SQL Server Analysis Services 2008. This plug-in is the SVM classification algorithm in addition to the shipped data mining algorithms with SQL Server.
MLlib is a Spark implementation of some common machine learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction and lot more.
The Matlab toolbox Gait-CAD is designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
scikit-learn is a Python module for machine learning built on top of SciPy. It is simple and efficient tools for data mining and data analysis. It supports automatic classification, clustering, model selection, pre processing and lot more.
A tool for capturing and analyzing data modifications; an audit trail generator with a data modifications viewer. Helps with testing, troubleshooting and exploring application functionality. ASP.NET 3.5 C#, SMO application. Audit and CRUD generators are included.