debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

liob

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brian-mann

var FadeTransitionRegion = Backbone.Marionette.Region.extend({

  show: function(view){
    this.ensureEl();
    view.render();

    this.close(function() {
	  if (this.currentView && this.currentView !== view) { return; }
      this.currentView = view;

nanasess

#
# Copyright (c) 1998, 1999, 2000, 2001, 2002, 2003, 2010, 2011
#	Tama Communications Corporation
#
# This file is part of GNU GLOBAL.
#
# This file is free software; as a special exception the author gives
# unlimited permission to copy and/or distribute it, with or without
# modifications, as long as this notice is preserved.
#

lancejpollard

What is your folder-structure preference for a large-scale Node.js project?

0: Starting from Rails

This is the reference point. All the other options are based off this.

|-- app
|   |-- controllers
|   |   |-- admin