Comments for Data Mining - Blog.com http://www.data-mining-blog.com Improve CRM Marketing with Data Mining and Cloud Mining Wed, 20 Apr 2011 06:21:55 +0000 http://wordpress.org/?v=2.9.1 hourly 1 Comment on The real data mining battle: Watson vs Google by Guido Deutsch http://www.data-mining-blog.com/data-mining/the-real-data-mining-battle-watson-vs-google/comment-page-1/#comment-203 Guido Deutsch Wed, 20 Apr 2011 06:21:55 +0000 http://www.data-mining-blog.com/?p=207#comment-203 IBM published a nice insight article of Watson: http://www.ibm.com/developerworks/industry/library/ind-watson/ IBM published a nice insight article of Watson: http://www.ibm.com/developerworks/industry/library/ind-watson/

]]> Comment on Oracle Cloud Mining at Amazon AWS by Elisabeth http://www.data-mining-blog.com/cloud-mining/oracle-cloud-mining-available/comment-page-1/#comment-198 Elisabeth Fri, 11 Mar 2011 08:36:02 +0000 http://www.data-mining-blog.com/?p=150#comment-198 Oracle cloud mining available.. Dandy :) Oracle cloud mining available.. Dandy :)

]]> Comment on The real data mining battle: Watson vs Google by State of Data Last Week – #36 « Dr Data's Blog http://www.data-mining-blog.com/data-mining/the-real-data-mining-battle-watson-vs-google/comment-page-1/#comment-184 State of Data Last Week – #36 « Dr Data's Blog Sat, 19 Feb 2011 07:30:41 +0000 http://www.data-mining-blog.com/?p=207#comment-184 [...] #big_data – Scale-up vs. Scale Out – What happens when you pitch Watson (a very large box) against Google (Cloud Grid) for Jeopardy? [...] [...] #big_data – Scale-up vs. Scale Out – What happens when you pitch Watson (a very large box) against Google (Cloud Grid) for Jeopardy? [...]

]]> Comment on The real data mining battle: Watson vs Google by Guido Deutsch http://www.data-mining-blog.com/data-mining/the-real-data-mining-battle-watson-vs-google/comment-page-1/#comment-183 Guido Deutsch Thu, 17 Feb 2011 14:53:36 +0000 http://www.data-mining-blog.com/?p=207#comment-183 Rocky Agrawal also wrote to this topic: http://blog.agrawals.org/2011/02/16/watson-vs-google/ Rocky Agrawal also wrote to this topic: http://blog.agrawals.org/2011/02/16/watson-vs-google/

]]> Comment on Overrepresentation – “SAS”-Oversampling by Guido Deutsch http://www.data-mining-blog.com/tips-and-tutorials/overrepresentation-oversampling/comment-page-1/#comment-182 Guido Deutsch Thu, 17 Feb 2011 11:10:05 +0000 http://www.datamining-blog.com/?p=35#comment-182 Hi Shirly, 1,240 observations are not that much with the huge amount of data given. The density you describe (0.001%) seems to show a very rare event that may be persistent against a forecast. But you may try 20/80 next to the 30/70 - that is 1,200 targets and 4,800 no-target. I think it will be tough to find a good model, though. Hi Shirly, 1,240 observations are not that much with the huge amount of data given. The density you describe (0.001%) seems to show a very rare event that may be persistent against a forecast. But you may try 20/80 next to the 30/70 – that is 1,200 targets and 4,800 no-target. I think it will be tough to find a good model, though.

]]> Comment on Overrepresentation – “SAS”-Oversampling by shirly http://www.data-mining-blog.com/tips-and-tutorials/overrepresentation-oversampling/comment-page-1/#comment-174 shirly Tue, 07 Dec 2010 21:52:24 +0000 http://www.datamining-blog.com/?p=35#comment-174 Hi Guido, Thanks for the post. What if target variable is (~0.001%) and overall there are 1,240,251 observations, would you still do "<5% target variable with more then 10,000 data sets: 30/70 oversampling is recommend (30% target variable and 70% non-target variable)" ? Hi Guido, Thanks for the post.

What if target variable is (~0.001%) and overall there are 1,240,251 observations, would you still do

“<5% target variable with more then 10,000 data sets: 30/70 oversampling is recommend (30% target variable and 70% non-target variable)" ?

]]> Comment on Data Mining in the KDD Environment by Mining data without being an expert - Data Mining - Blog.com http://www.data-mining-blog.com/data-mining/data-mining-kdd-environment-fayyad-semma-five-sas-spss-crisp-dm/comment-page-1/#comment-150 Mining data without being an expert - Data Mining - Blog.com Tue, 07 Sep 2010 21:11:14 +0000 http://www.datamining-blog.com/?p=59#comment-150 [...] user is guided automatically through the data preparation and all the necessary data mining [...] [...] user is guided automatically through the data preparation and all the necessary data mining [...]

]]> Comment on CeBIT 2010: Cloud Mining soon at SAS? by Guido Deutsch http://www.data-mining-blog.com/cloud-mining/cebit-2010-cloud-mining-soon-at-sas/comment-page-1/#comment-145 Guido Deutsch Thu, 19 Aug 2010 07:35:31 +0000 http://www.data-mining-blog.com/?p=124#comment-145 I still got no starting date. So this is still a rumour to me... I still got no starting date. So this is still a rumour to me…

]]> Comment on Easy Data Mining by drag’n’drop: FastStats Modelling by Guido Deutsch http://www.data-mining-blog.com/data-mining-tools/faststats-modelling-data-mining/comment-page-1/#comment-144 Guido Deutsch Thu, 19 Aug 2010 07:34:14 +0000 http://www.data-mining-blog.com/?p=158#comment-144 Hi "Datakid1", I already visited your site, which sells online tutorials for Data Mining. I wasn't able to try them, though. Good luck with it! I really like your <a href="http://dataminingtools.net/blog/" rel="nofollow">Blog</a>. Hi “Datakid1″, I already visited your site, which sells online tutorials for Data Mining. I wasn’t able to try them, though. Good luck with it! I really like your Blog.

]]> Comment on Easy Data Mining by drag’n’drop: FastStats Modelling by datakid1 http://www.data-mining-blog.com/data-mining-tools/faststats-modelling-data-mining/comment-page-1/#comment-143 datakid1 Sat, 31 Jul 2010 17:21:27 +0000 http://www.data-mining-blog.com/?p=158#comment-143 You might be interested to take a look at the collection of Tutorials and videos on Data mining. Tutorials: http://www.dataminingtools.net/browsetutorials.php Videos: http://www.dataminingtools.net/browse.php You might be interested to take a look at the collection of Tutorials and videos on Data mining.
Tutorials: http://www.dataminingtools.net/browsetutorials.php
Videos: http://www.dataminingtools.net/browse.php

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