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# always list in long format
alias ls='ls -la --color'
alias clear=cls

# set dynamic prompt and window/tab title
PS1='\[\e]0;${PWD##*/}\a\]\n'  # set window title
#PS1="$PS1"'\u@\h '            # user@host<space>
PS1="$PS1"'\[\033[32m\]'       # change color
PS1="$PS1"'\w'                 # current working directory
if test -z "$WINELOADERNOEXEC"

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#!/usr/bin/env bash

echo "Provisioning virtual machine..."

sudo apt-get update

sudo apt-get install -y python-software properties
sudo apt-get install -y software-properties-common
sudo add-apt-repository -y ppa:webupd8team/java

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1. *General Background and Overview*
  * [Probabilistic Data Structures for Web Analytics and Data Mining](http://highlyscalable.wordpress.com/2012/05/01/probabilistic-structures-web-analytics-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](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.9846)
  * [Philippe Flajolet’s contribution to streaming algorithms](https://speakerdeck.com/timonk/philippe-flajolets-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](http://www.vldb.org/conf/2002/S10P03.pdf) 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

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data.SqlClient;
using System.Reflection.Emit;
using System.Collections.Concurrent;
using System.Data;
using System.Reflection;