I hereby claim:
- I am pinoeire on github.
- I am pino (https://keybase.io/pino) on keybase.
- I have a public key ASDFpOG1NjPdXeY6lqfjCv8mGJaVtMLJyvT4cGX-_lLidQo
To claim this, I am signing this object:
Pino De Francesco PinoEire
PinoEire
/ gist:9a0c3160e98ce7c5c51c90f22b5b9508
Created
March 12, 2018 19:31
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| Verifying my Blockstack ID is secured with the address 1PHhrzHJvu2avRt1PGRgKGGfbEP78VLTC3 https://explorer.blockstack.org/address/1PHhrzHJvu2avRt1PGRgKGGfbEP78VLTC3 |
PinoEire
/ keybase.md
Created
August 22, 2017 00:43
PinoEire
/ gist:2657c7845c0661739f436bacf0ca1c1d
Created
May 24, 2016 07:45
— forked from debasishg/gist:8172796
A collection of links for streaming algorithms and data structures
- General Background and Overview
- 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