- 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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void setup(){ | |
size(500,500,P3D); | |
smooth(8); | |
} | |
float f(int i, int j, float q){ | |
return(q*(noise(.2*(i+400-.05*frameCount),.2*(j+90))-.5)); | |
} | |
float s; |
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#!/usr/bin/env bash | |
set -u | |
set -e | |
export GIT_WORK_TREE="/var/www/example.com" | |
export NODE_VERSION="0.10" | |
echo "--> Checking out..." | |
git checkout -f |
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#!/bin/sh | |
if [ -z "$1" ] ; then | |
echo "usage: $0 <projectname> [/path/to/project]" | |
exit 1 | |
fi | |
MYPROJECT=$1 | |
# Setup some variables needed for bootstrapping the environment | |
if [ -z "$2" ] ; then |
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### MARKHAM'S NOTES: | |
# This Makefile includes the Arduino core sources. (Set ARDDIR here:) | |
ARDDIR = /d/arduino | |
# You should build a tiny Makefile for each of your projects and just declare a few | |
# things in it, then include this Makefile in it. Your Makefile should be in the same | |
# directory as your TARGET file (see below). | |
# | |
# Exemplia gratia: |
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# 0 is too far from ` ;) | |
set -g base-index 1 | |
# Automatically set window title | |
set-window-option -g automatic-rename on | |
set-option -g set-titles on | |
#set -g default-terminal screen-256color | |
set -g status-keys vi | |
set -g history-limit 10000 |
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