Joshua Koo zz85

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

	Testing ciphers using signature preferences of size: 1
	Creating ThreadPool of size: 8
	Digests: SHA256 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA384 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA1 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA384 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA1 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA224 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA224 ClientAuth: None Vers: Default ... PASSED
	Digests: SHA256 ClientAuth: None Vers: Default ... PASSED

	m = /\s+(([A-Z0-9]+_)*([A-Z0-9]+))\s+/g

	locations = [];

	while (match = m.exec(x)) {
	console.log(match)
	str = match[1].split('_')
	.map(s => s[0].toUpperCase() + s.substring(1).toLowerCase())
	.join('')
	locations.push({

	<html>

	<body>
	<style>
	body {
	font-size: 20px;
	text-align: center;
	font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans',
	'Droid Sans', 'Helvetica Neue', sans-serif !important;
	padding: 40px;

	// '█' -> '▏'

	times = (x) => new Array(x).fill(0);

	var blocks = times(8).map((_, i) => String.fromCharCode(9608 + i));
	var values = times(8).map(() => Math.random() * 10000);
	// values = [0, 4, 10, 20, 50]
	// values = [5, 5, 5, 5, 5]
	// values = [ 0, 1,2,3,4,5,6,7,]
	// values = [0, 0, 0]