Mining of Massive Datasets

http://infolab.stanford.edu/~ullman/mmds.html

by rajesht • 15 years ago

213 11 15 years ago

infolab.stanford.edu

khookie• 15 years ago

thank you!

binarysolo• 15 years ago

Great class, wonderful teachers -- thanks for the submit.

0x12• 15 years ago

The book mentions a number of distributed file systems but omits one that I think deserves mention: http://www.gluster.org/

Glusterfs is an interesting take on the DFS concept and it is open source.

Estragon• 15 years ago

glusterfs is what we use at work, and I have seen some fairly strange behavior from it during heavy FS traffic. Makes me a bit nervous.

Hitchhiker• 15 years ago

Thanks !

danso• 15 years ago

Thanks for the link, highly useful and very readable.

Loved this from the webpage intro: "We are sorry to have to mention this point, but we have evidence that other items we have published on the Web have been appropriated and republished under other names. It is easy to detect such misuse, by the way, as you will learn in Chapter 3."

ahalan• 15 years ago

Workshops: http://www.quora.com/What-are-some-workshops-on-large-scale-...

Also see the tutorial "Scaling Up Machine Learning" at KDD2011: http://hunch.net/~large_scale_survey/

smokinn• 15 years ago

I've recently finished up to chapter 3 and already I can say I highly recommend reading this. So far it's been excellent.

wslh• 15 years ago

I recommend looking at http://theinfo.org/ community.

webspiderus• 15 years ago

This is a course that went with this book: http://www.stanford.edu/class/cs246/cs246-11-mmds/

Some interesting material in the presentations and the homeworks as well, although the bulk of the content is definitely in the textbook.

PaulHoule• 15 years ago

This is nice. Nothing in it is really new though, flipping through it I kept thinking about what I was doing five years ago. On the other hand, past is prelude.

Mining of Massive Datasets

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