Showing posts with label data mining. Show all posts
Showing posts with label data mining. Show all posts
Saturday, March 15, 2014
Thursday, December 27, 2012
Cascading for the impatient
I know I mentioned Cascading once before, but there's a handy tutorial blog series now. I should work through it, especially since there's a focus on TF-IDF, which I find myself needing lately.
Tuesday, December 18, 2012
Sunday, December 9, 2012
Data model XML
The Data Mining Group has published an XML standard "PMML" for the interchange of data models.
You know, I really need some kind of better semantic model for XML. For myself, actually, but at the language level as well. There's got to be a good way to think about XML as it relates to data structures or APIs or something, but somehow when I look at an XML specification I feel dry.
You know, I really need some kind of better semantic model for XML. For myself, actually, but at the language level as well. There's got to be a good way to think about XML as it relates to data structures or APIs or something, but somehow when I look at an XML specification I feel dry.
Saturday, November 3, 2012
Thursday, August 16, 2012
Data mining astronomical literature
NASA has been working hard since the 90's to ensure open access to the astronomical literature. Here is one man's data mining response.
Wednesday, August 15, 2012
Processing schema.org markup with Perl
Nice outline of quick extraction of semantic markup in Web pages using Perl and a microparser.
Thursday, July 26, 2012
Machine learning link dump
A few interesting links lately:
- Using SVMs to tune parameters for machine learning (metalearning is doubly cool)
- Colors in movie posters since 1914
- Data mining logo colors in top apps - as the author says, kinda cargo cultish, but still fun.
So that's a couple of tabs closed.
Sunday, July 8, 2012
Thursday, June 28, 2012
Ourmine - data mining toolkit project
Here's a pretty fascinating project - a data mining toolkit along the lines of the one I want to build, but in bash/Java (looks like). Here's an example topic page (Naive Bayes classifiers).
Thursday, May 10, 2012
More open-source books on computing
There are a couple of interesting titles here, including Data Mining Algorithms in R. Definitely worth a look.
Saturday, February 18, 2012
Target's data mining
Interesting article about Target's data mining and how they can tell a woman is pregnant - and how they don't creep her about knowing that, instead subtly modifying just her coupon mailers to include more baby-oriented coupons.
Interesting. Creepy - but interesting.
Sunday, February 12, 2012
Weave: Web-based Analysis and Visualization Environment
I haven't looked too closely at this, but it looks neat.
Wednesday, January 18, 2012
Friday, January 13, 2012
Data analysis of Twitter to determine you want to learn Objective-C
I find this kind of project fascinating every time: analysis of tweeted jobs to find popular keywords, with nice graphics. Learn Objective-C in 2012, apparently.
Friday, December 30, 2011
Waffles command-line ML toolset
Waffles is a comprehensive set of command-line tools for doing machine learning and data mining.
I really, really need to sit down and do a survey/implementation tool thing.
Sunday, December 25, 2011
Data mining without prejudice
Interesting article from MIT about a paywalled article in Science about a new technique for data mining developed at MIT, the upshot being apparently that it's doing curve fitting with no preconceived notions of the variables being fit. Or something. I need to read it after some sleep.
Wednesday, November 30, 2011
Data mining of recipes
Now this is way cool: analysis of comments on recipe sites to determine, well, all kinds of things, but especially what ingredients can be substituted for others. Just mouthwatering research - both figuratively and literally!
I want to do this.
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