Toni Cebrián tonicebrian

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=rep1&t

	import com.twitter.scalding._
	import com.twitter.algebird.{ MinHasher, MinHasher32, MinHashSignature }

	/**
	* Computes similar items (with a string itemId), based on approximate
	* Jaccard similarity, using LSH.
	*
	* Assumes an input data TSV file of the following format:
	*
	* itemId userId

	package org.tempura.console.util;

	import java.util.ArrayList;
	import java.util.Collections;
	import java.util.List;

	/**
	* Usage:
	* <li>String msg = Ansi.Red.and(Ansi.BgYellow).format("Hello %s", name)</li>
	* <li>String msg = Ansi.Blink.colorize("BOOM!")</li>

	#!/bin/bash

	# Script for installing tmux on systems where you don't have root access.
	# tmux will be installed in $HOME/local/bin.
	# It's assumed that wget and a C/C++ compiler are installed.

	# exit on error
	set -e

	TMUX_VERSION=1.8