Daniel Hritzkiv dhritzkiv

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

I hereby claim:

I am dhritzkiv on github.
I am poutine (https://keybase.io/poutine) on keybase.
I have a public key whose fingerprint is BC4B 877B 1526 33D8 36A8 E50B 53A7 A089 E9D9 267F

To claim this, I am signing this object:

	// require() some stuff from npm (like you were using browserify)
	// and then hit Run Code to run it on the right


	var FormView = require("ampersand-form-view");
	var InputView = require("ampersand-input-view");
	var SelectView = require("ampersand-select-view");

	var Form = FormView.extend({
	fields: function() {

	(function() {
	document.addEventListener("DOMContentLoaded", function() {
	var elm = document.createElement('div');
	elm.setAttribute("style", "height:" + (window.innerHeight + 1) + "px;width:1px");
	document.body.appendChild(elm);
	document.body.scrollTop = 1;
	window.scrollElement = document.body.scrollTop > 1 ? document.body : document.documentElement;
	window.scrollElement.scrollTop -= 1;
	document.body.removeChild(blockElm);
	});

	/* The UserOrder View. It calls .renderCollection on a collection that is part of its model. */

	var View = require('ampersand-view');
	var templates = require('../templates');
	var UserOrderProductView = require("./user-order-product");

	module.exports = View.extend({
	template: templates.includes.userOrder,
	render: function(opts) {
	var self = this;