| Introduction
Data mining allows analysts to apply a variety of powerful machine-learning tools to the task of searching for relationships in small or large data sets, often finding non-linear or complex relationships that are not found by traditional methods.
This seminar will demonstrate a number of optional tools within STATISTICA that allow analysts to apply these methods as a part of their daily routine. If you analyse real-world data and don't know about using methods such as CHAID and Neural Networks, then you need to come and see them demonstrated.
What is Data Miner?
STATISTICA Data Miner (SDM) is a collection of machine learning tools available within the STATISTICA data analysis and statistics environment. Because of the integration into a conventional statistics environment you can choose at any stage whether to use, say logistic regression or CHAID, and compare the results. You also have the superb data graphing ability of STATISTICA.
You can use all the data mining techniques as customisable menu-driven, stand-alone analyses, or you can use a four-pane data miner "workspace" which contains a symbolic representation of the flow of input data through data filtering or cleaning and analytic nodes, to the results.
Although the full power of STATISTICA DM comes from owning the entire suite of products, we recognise that many people get all the power they need from using only one or a few of the algorithms, so the purchasing options allow for this.
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