- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
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| # Hello, and welcome to makefile basics. | |
| # | |
| # You will learn why `make` is so great, and why, despite its "weird" syntax, | |
| # it is actually a highly expressive, efficient, and powerful way to build | |
| # programs. | |
| # | |
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debasishg
/ gist:8172796
Last active
March 15, 2024 15:05
A collection of links for streaming algorithms and data structures
ndarville
/ business-models.md
Last active
January 13, 2024 17:27
Business models based on the compiled list at http://news.ycombinator.com/item?id=4924647. I find the link very hard to browse, so I made a simple version in Markdown instead.
Dear C++ library writer,
-
If your library forces me to use
newall over, I will hate you. -
If your library has types with bogus values, I will hate you.
-
If the documentation for your library gets the terminology of its own domain wrong, I will hate you.
-
If I say "My God, it's full of stars!" when I see the function signatures in your library, I will hate you.