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Data Miner |
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With the release of STATISTICA™ Data Miner, StatSoft has claimed a leading position in the development of statistical software.
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It's comprehensive…To the best of our knowledge, STATISTICA Data Miner contains the most comprehensive selection of data mining methods available on the market. It has by far the most comprehensive selection of clustering techniques, neural network architectures, classification/regression trees, multivariate modelling (including MARSplines), and many other predictive techniques.
It's inclusive…Use basic statistical, graphics and visualisation procedures at any stage of your analysis, because Data Miner is built as an extension of the STATISTICA statistics program. For instance, tabular output from a neural network model can be used as input to graphing or statistical operations.
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It's easy to use…STATISTICA Data Miner uses simple mouse-driven techniques that adhere to the general standards for a Windows user interface.
It's fast…Comparisons with similar software show important speed advantages for STATISTICA Data Miner.
It includes deployment facilities…STATISTICA Data Miner is built with deployment in mind - and is supplied with a variety of deployment tools, at no extra cost.
It's programmable…Like the whole of STATISTICA, Data Miner is fully programmable in STATISTICA Visual Basic, so you can easily customise it and incorporate it into your existing corporate computing environment.
Build up to it…If you are not ready for full-scale data mining yet, but are doing some analysis, start off with STATISTICA and add tree analysis or neural networks, before implementing a full data mining solution to your business.
Ideal for education…The STATISTICA product range is ideal for teaching statistics and machine learning. Talk to HRS to find out why the Australian Council for Education Research is working with StatSoft to deliver courses in Data Mining.
See for yourself…You can see an animated slide show that covers the main points, at www.hrs.co.nz/slideshows.aspx.
More information…
For more information, contact Darrel Amarasekera on 0800 477 776, email darrel@hrs.co.nz or visit our website www.hrs.co.nz/statistica_dataminer.
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Phone 0800 477 776 or 07 839 9102 | Fax 07 839 9103 | www.hrs.co.nz | info@hrs.co.nz 510 Grey St, Hamilton East | PO Box 4153, Hamilton, New Zealand |
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