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Poll |
| Do you use [400 votes total] |
| Angoss (27) |
 7% |
| CART (27) |
 7% |
| Clementine (79) |
20% |
| IBM Iminer (37) |
9% |
| Megaputer (5) |
1% |
| SAS (71) |
18% |
| SAS EM (55) |
14% |
| SGI Mineset (19) |
5% |
| Other (80) |
20% |
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Comments
Other tools mentioned in the other category included
- Alice Isoft (part of Business Objects)
- DataEngine
- GainSmarts
- MARS
- MATLAB PLS toolbox
- Model 1
- Oracle Darwin
- NeuralWare's Professional II+
- SPSS 10.0 and AnswerTree
- WhiteCross
Tool Comments, or Where is My Tool?
- SAS
- SAS Enterprise Miner has a great graphical interface for iterative mining, allowing business analysts to utilize powerful modeling techniques with good default parms, but also giving the PhD expert-types the control for the advanced stuff.
- SAS EM is fast and has a great collection of algorithms - but the user interface needs much polishing.
- SPSS
- Where is AnswerTree and SPSS 10.0? I use these for my data Mining activities. Answertree has CHAID, C&RT, and Quest for pretty visual decision Trees.
- Clementine is relatively easy to use and provides good breadth of capabilities at a reasonable price. Everything about SAS is too expensive. IBM has a lot of capabilities, but it's harder to effectively use.
- Clementine is very good and has tremendous potential. The company was recently purchased by SPSS, giving it increased momentum and exposure.
- Other
- Where is Alice from Isoft (http://www.alice-soft.com)? Alice is imbedded in Business Objects thereby totalling more users than any other package.
- DataEngine offers many Data Mining techniques!
- why is GainSmarts not on it? It won the KDD Cup twice and 45 companies are using it in USA, Europe and Asia.
- IBM IM is best, it's collection of function is richest and it's IBM
- Use Search in Microsiris
General Comments
- finally a poll I will consider participating in, since the sampled population (KDD types) are actually the ones who have some specific knowledge of the area.
- It would be useful if a survey such as this would discriminate types of user, eg data mining technician, market analyst, ...
- Easy to use, good interface but algorithms need to be more sophisticated, e.g. pruning of trees. So need better visualisation of learned models
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