Data mining tools you regularly use
|
Poll |
Data mining tools you regularly use: [967 choices, 551 voters]
|
SPSS Clementine (128) |
13% |
Weka (101) |
10% |
SAS (100) |
10% |
CART/MARS (89) |
9% |
SPSS/AnswerTree (76) |
8% |
SAS Enterprise Miner (67) |
7% |
Other commercial tools (65) |
7% |
Other free/open-source tools (57) |
6% |
MATLAB (52) |
5% |
Microsoft SQLServer/Excel (40) |
4% |
Insightful Miner (36) |
4% |
IBM Intelligent Miner (35) |
4% |
KXEN (35) |
4% |
C4.5 / C4.8 (29) |
3% |
Angoss (26) |
3% |
Megaputer Polyanalyst (10) |
1% |
Neuralware (8) |
1% |
Oracle Suite (Darwin) (8) |
1% |
Quadstone (3) |
0.3% |
ThinkAnalytics (2) |
0.2% |
|
Note: although the poll mechanism does have a number of precautions against multiple voting, a number of duplicate votes were found and removed.
Comments
- Javier Pison, Jun 16, 2002; Subject: 'R' and 'WEKA'
I use open source "R" (www.r-project.org) and
"WEKA". "R" is a powerfull statistical tool to manipulate the data
and "WEKA" is very useful to analize them.
Congratulations for
all the people who have developed "R" and "WEKA".
- Larry M Deschaine, Jun 9 2002; Subject: Scientific Data Mining
I have had great success writing
equations from numeric data with a multiple run, linear genetic
programming system called Discipulus [not heavily marketed and
extremly effective]. It is distributed by RMLT, www.aimlearning.com.
Some of the published work I have used it for is found on my Home
Page: http://pw2.netcom.com/~lmdmit84.
The tools from
Salford systems are also quite impressive and deserve a close and
serious look if you have not used them yet.
I get many
emails, and will try to respond if requested, and I do ask that you
review the information on the web sites first - thank you in advance
for your collaboration - Larry
- Will Dwinnell, Jun 7, 2002; Subject: MATLAB
I have found MATLAB to be a tremendously useful tool. It is a natural
fit for numerical work. Implementing algorithms is a breeze compared
to languages like C/C++, etc. Pre- and post-processing are also a good
fit.
- Sheldon Evans, Jun 6, 2002; Subject: Statistica Data Miner
I'm an early adopter of a product called Statistica Data Miner. It's
far and away the most comprehensive data mining solution on the
market. It gives me the freedom to customize while including features
that other products such as Clementine and Enterprise Miner
don't. Their enterprise version is much more cost effective than SAS,
IBM, and SPSS.
- Ted Pedersen, Jun 5, 2002; Subject: why I like weka
I use Weka quite a bit and recommend it highly. It is open source,
easy to use, and quite extensive in it's coverage. It's also free, and
the developers have proven very helpful and provide quite good
support.
- prasanna, Jun 5, 2002; Subject: Weka
The best thing I like about Weka , is that it is open source , user is
free to do modifications in the source code , easy to use GUI features
.. Weka must be already giving hiccups to high priced data mining
products..
- Aldebaro Klautau, Jun 4, 2002; Subject: Weka
I like Weka because it is very easy to use is one wants to simply run
simulations with standard algorithms. And also, when I feel like
implementing new and complicated non-working algorithms myself, Weka's
documentation is very nice (e.g. references to papers) and the code is
in Java (a nice language that only Gates dislikes).
- Liu Huiqing, Jun 4, 2002; Subject: I like Weka
Weka is a very nice open-source data mining tool. It helps me greatly.
- Nicholas, Jun 4, 2002; Subject: You Forgot BioComp
You forgot BioComp's iManageData, iModel, iUnderstand and iImprove.
- Hercules Prado, Jun 4, 2002; Subject: My tool of choice for classification.
For classification tasks I use AIRA, a tool based on Combinatorial Neural Model, developed by Hycones.