MartinBodocky

#I @"C:\Program Files (x86)\Reference Assemblies\Microsoft\Framework\.NETFramework\v4.5.1\"
#r "System.Messaging.dll"

open System
open System.Messaging
open System.Diagnostics

// create message queue
MessageQueue.Create(@".\private$\r_default-queue")

filipw

namespace WebApi.AzureWorker
 
open Owin
open System
open System.Diagnostics
open System.Net
open System.Threading
open System.Net.Http
open System.Web.Http
open Microsoft.Owin.Hosting

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

MartinBodocky

GetItemsFromCalendarAsmx = function (webUrl, calendarGuid) {

    wsURL = webUrl + "_vti_bin/Lists.asmx";

    var xmlCall =
        "<soap:Envelope xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xsd='http://www.w3.org/2001/XMLSchema' xmlns:soap='http://schemas.xmlsoap.org/soap/envelope/'> <soap:Body>" +
        "<GetListItems xmlns='http://schemas.microsoft.com/sharepoint/soap/'>" +
        "<listName>" + calendarGuid + "</listName>" +
        "<query>" +
        "<Query>" +

jackgill

/*
 * This script will download a package (and all of its dependencies) from the 
 * online NPM registry, then create a gzip'd tarball containing that package 
 * and all of its dependencies. This archive can then be copied to a machine
 * without internet access and installed using npm.
 *
 * The idea is pretty simple:
 *  - npm install [package]
 *  - rewrite [package]/package.json to copy dependencies to bundleDependencies
 *  - npm pack [package]

theburningmonk

#r "System.Xml.dll"
#r "System.Runtime.Serialization.dll"

open Microsoft.FSharp.Reflection
open System.IO
open System.Reflection
open System.Runtime.Serialization
open System.Runtime.Serialization.Formatters.Binary
open System.Runtime.Serialization.Json
open System.Text

entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html