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Closed 10 years ago.
Where can I find documentation on the X12 documents along with samples. I am interested in 810 and 812, but would also like to bookmark information on the additional documents.
Is there a good book out there which covers these documents?
Thanks
There's a fair bit around. The first place to look is X12.org.
This looks like a pretty decent online course.
EDI documents aren't particularly hard to process, they're just strings. The difficulty is that within the standard there are a lot of degrees of freedom, so you need to negotiate exactly which field codes etc you're going to support with each transaction partner.
Another magic word to look for is EDIFACT, which is the international standard.
You have to purchase the official documentation (from DISA), however for common X12 transactions like the 810 there are lots of implementation guides around on the net that have the subset of the transactions which are most used.
Related
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Closed 10 years ago.
The US census for 1930 is available online as a series of large pdfs. Sadly, as far as I can see, there is no free service that has also run OCR on it. There are, on the other hand, a lot of online examples of successful OCR done by "enthusiastic amateurs". So, let's start at the beginning.
For example, a single page can be seen at http://i47.tinypic.com/2i7tt8k.png, and here is another one:
What would be a good way to extract the different words from the image so that one can start to try to train a system to recognise them? Ultimately I am seeing this as a tricky machine learning problem.
You can download the entire image files from http://archive.org/details/newyorkcensus00reel1475 and associated links.
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Closed 10 years ago.
Like in Title I wonder what payment system do you recommend to use?
Maybe some of existing systems are better than other (easier for implement for example)?
So far I've try only paypal sdk for c#. But what is your recommendation for that?
This is just a personal preference, so take it for what it's worth. I've had great luck with Chargify. The C# library works well, it supports subscriptions and reoccurring billing, coupon codes, discounts, and metered billing.
Cheddergetter is an alternative to Chargify that also has .NET libraries.
I've found both significantly easier than trying to get regular Authorize.net working, and prefer it over only accepting PayPal.
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Closed 10 years ago.
OK. this might be a very basic question to please don't flame me but I have been googling I want to learn how to write solutions to transportation problems like Wolf, Cabbage, and Goat or traveling salesman using F#
so far my research has taken me to these resources on the web
http://mat.gsia.cmu.edu/orclass/integer/integer.html
http://www.zib.de/Publications/Reports/SC-95-27.pdf
Fox-Goat-Cabbage Transportation
http://www.qauprogrammers.com/Article/File-192324030/PROLOG-Programming-with-NET
but despite reading thru these, I have not been able to "think" on how should such a problem be solved in F# type of language
I'd recommend going thru the excellent article Escape from Zurg: An Exercise in Logic Programming. Although the functional language of choice there is Haskell, it should give you enough ideas about programming of optimal search problems functionally.
Also Escape from Zurg in Scala has full source code easily portable to F#.
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Closed 10 years ago.
I am looking for a book where some monocular/visual SLAM is described and implemented.
Can you list and recommend some?
I'd like to use OpenCV but that is not a requirement.
I don't know of a book with a description of such an algorithm, but there's a complete open source implementation (in C++) of a vslam system available as part of the Robot Operating System. It uses SURF descriptors and vocabulary trees for place recognition, and bundle adjustment for SLAM. It does use OpenCV heavily as it's made by the same people. See the website here. I can't say for sure as they don't mention and I haven't looked in great detail, but their implementation seems to be based on, or at least is similar to, this paper.
Edit: The paper linked above was actually written by the people who implemented the vslam system given above, it appears. So it is definitely a good resource for understanding it.
I don't know about a book, but maybe PTAM can be useful. The ISMAR 2007 paper by Klein has a description about the system and the source code is available so you can check the details.
Of course, PTAM is just a (good) method in the SLAM field.
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Closed 11 years ago.
I need a good stemming algorithm for a project I'm working on. It was suggested that I look at the Porter Stemmer. When I checked out the page on the Porter stemmer I found that it is deprecated now in favor of the "Snowball" stemmer.
I need a good stemmer, but I can't really spend significant time implementing (or optimizing) my own. What is the best "off the shelf", freely available stemmer? Are there any non-free stemmers available for a reasonable price? Or, is the Snowball stemmer my best bet?
The Porter2 stemmer is the one I've decided to go with. It seemed the porter stemmer was the standard, but when I found the page by the author he recommended the "Snowball (Porter2)" stemmer. There is a C port link on this page.
It really depends on how you're planning to apply it. The Natural Language Toolkit (http://nltk.sourceforge.net) has a number of stemmers implemented in it that should be able to handle most applications. I prefer the Morphy stemmer.
Of course, it's available in Python, so if you're working with another language, you can always look through the code to glean the algorithm and transfer it to your language of choice. Python is highly readable.