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October 2012 Blog Posts (42)

Gale-Shapley Algorithm

Al Roth along with Lloyd Shapley won the Nobel Prize for matching and the design of new types of markets. The Gale-Shapley algorithm is a cornerstone of the matching methods Al Roth pioneered. The algorithm has been extended by Roth and computer scientists including Don Knuth to apply "Matching Theory" to design…

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Added by Michael Walker on October 17, 2012 at 1:30pm — No Comments

Webinar: Analytics as a Service for Decision Makers

 …
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Added by Vincent Granville on October 17, 2012 at 7:00am — No Comments

Stop! Listen to what your data isn't saying

SILENCE ISN’T ALWAYS GOLDEN

“Determining the Right Actions across Information”

Published: Oct 14, 2012


When it comes to…
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Added by Zach Piester on October 15, 2012 at 5:30am — No Comments

An Introduction to Social Network Analysis

Social network analysis (SNA) is the methodical analysis of social networks.  Social network analysis views social relationships in terms of network theory, consisting of nodes (representing individual actors within the network) and ties (which represent relationships between the individuals).  These…

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Added by Venky Rao on October 14, 2012 at 2:53am — No Comments

Start-up? Start with a Big Data mindset

 BY EDWARD BOUDROT




Big Data can come in small packages



  How can a company leverage data across multiple sources to gain valuable insight to deliver all the…
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Added by Zach Piester on October 11, 2012 at 7:18am — No Comments

New job ads from AnalyticTalent.com

Announcement:

Webinar: The Path from BI to Data Science: View details at http://bit.ly/RxqEKP

 …

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Added by Vincent Granville on October 10, 2012 at 12:00pm — No Comments

Webinar: The Path from BI to Data Science

How to Walk The Path from BI to Data Science: 

An interview with Michael Driscoll, data scientist and CEO of Metamarkets…
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Added by Vincent Granville on October 10, 2012 at 12:00pm — No Comments

The Emerging Data Stack and Mobile Access

 

The emerging  "Data Stack" or "Data Layer" is in full transition and can be viewed and defined many different ways. The ability to capture, analyze and learn from…

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Added by Michael Walker on October 10, 2012 at 10:52am — No Comments

32 Big data "gotchas" from the trenches in exactly 3 words



1.Usecase ! Usecase ! Usecase



2.Decode intent proxies!



3.Think "20-100 X Scalability" blindspots



4.Actions not insights



5.Frame unanswered questions !



6.Embedd MachineLearning processes !



7.Humanize analytical output !



8.Ingest unstructured data



9.Quantify $ impact !…

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Added by derick.jose on October 9, 2012 at 9:54pm — No Comments

Top 17 articles for week ending October 9

From Data Science Central and AnalyticBridge

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Added by Vincent Granville on October 9, 2012 at 12:30pm — No Comments

Optimizing Direct Mail Campaigns

Direct Mail Campaigns (and their online equivalents) continue to be a popular method to promote a company's offer to potential customers.  All of us have received letters from retail stores, financial institutions and other companies with special offers that prompt us to take speedy action to avail of a discount, a bonus or similar attractive proposition.  In most cases, I tend to discard these letters without opening them and in rare cases I open them before deciding that they don't apply…
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Added by Venky Rao on October 7, 2012 at 9:13am — 2 Comments

Past performance IS indicative of future results

Why do people selling supposedly great ROI on the stock market MUST disclaim that "Past performance IS NOT indicative of future results", or else face litigation?

If I had to tell that statement to my clients, nobody would buy. Indeed, I tell the opposite (as in the subject line), because I'm confident about my predictions…

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Added by Vincent Granville on October 6, 2012 at 5:00pm — 1 Comment

Baseball + Big Data is actually DATABALL

BASEBALL + BIG DATA

Stories

BY DAVE FEINLEIB



Moneyball = Databall

Many a baseball fan has read or seen the movie based on the book Moneyball, Michael Lewis’ bestseller about using analytics to assemble a…

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Added by Zach Piester on October 5, 2012 at 9:58am — No Comments

The Hastings Effect: How The Netflix Big Data Approach Is Transforming Education

How The Netflix Big Data Approach Is Transforming Education.



Netflix is known for its personalized recommendations. By analyzing data on what you and other people have watched, they know what movie to recommend to you next. Customers are happy because they get suggestions for movies they like. Netflix is happy because you’re more likely to watch another movie, according to Mohammad Sabah, who spoke at the Hadoop Summit. Now that same approach is changing how colleges…

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Added by Zach Piester on October 5, 2012 at 1:30am — No Comments

Apple. Big Data. Big Design.

Apple. Better Design, Deeper Insights

Apple created the most valuable company in history with this philosophy. Each and every Apple product communicates back to the Apple data warehouse about its usage seamlessly, with the customer’s tacit agreement. The oceans of data gathered through the Operating System, Genius, iTunes, and AppStore are then used to craft elegant, useful products like MacBookAir, iPhone, and iPad, which then provide even more extensive insights into…

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Added by Zach Piester on October 4, 2012 at 1:38pm — No Comments

Sponsored Webinar: How can big data help you?

Big data is a big "so…
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Added by Vincent Granville on October 4, 2012 at 8:30am — No Comments

Doing Market Research using Social Media

 Observational social media research 

involves analyzing social media data without intervention or interaction from the researcher.  In this mode of research, you search for, look at, collect, synthesize, and analyze data that exist in the social media sphere (blogs, newsgroups,…

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Added by suresh on October 4, 2012 at 5:58am — 2 Comments

Big Data Analytics Maturity Model

See: …

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Added by Michael Walker on October 3, 2012 at 10:18am — 1 Comment

Big Data: Opinions & Sentiments Analysis

Analyzes of texts put lights in two main types of information “facts and opinions”. Most current treatment methods of textual information aim to extract and use factual information, this is the case for example of research we do on the web. Analysis of opinions is concerned about feelings and emotions expressed in the texts, it has grown much today because of the space taken from the web in our society, and the very large volume of daily comments expressed by consumers with the advent of the…

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Added by Michel Bruley on October 2, 2012 at 10:43pm — 5 Comments

ACM Data Mining Talk: Representing Predictive Solutions with PMML

Talk on PMML and Predictive Analytics to the ACM Data Mining Bay Area/SF group at the LinkedIn auditorium in Sunnyvale, CA.



Abstract: 



Data mining scientists work hard to analyze historical data and to build the best predictive solutions out of it. IT engineers, on the other hand, are usually responsible for bringing these solutions to life, by recoding them into a format suitable for operational deployment. Given that data mining scientists and engineers…

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Added by Alex Guazzelli on October 2, 2012 at 8:12am — No Comments

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