algorithms
Three Implications for the Rise of E-Readers
For the first time ever, Amazon.com sold more electronic than printed books. In other news, Kindle e-readers are flying off the shelves and one article suggests Barnes and Noble’s saving grace will be their Nook reader. What gives with this sudden transition to e-books and what are the implications of this e-reading trend? [read more]
Has Personalized Filtering Gone Too Far?
In a world of plenty, algorithms may be our saving grace as they map, sort, reduce, recommend, and decide how airplanes fly, packages ship, and even who shows up first in online dating profiles. But in a world where algorithms increasingly determine what we see and don’t see, there’s danger of filtering gone too far. [read more]
Match Mitigation: When Algorithms Aren’t Enough
I’d like to get a little technical on this post. I try to keep my posts business-friendly, but sometimes there's importance in detail. If none of this post makes any sense to you, I wrote a sort of primer on how matching works in many data quality tools, which you can get here. Matching Algorithms When you use a data quality tool, you’... [read more]
Rating agency data: Getting gamed
It looks like the rating agencies, which contributed so much to the housing bubble (and bust), made it easy for banks to game the numbers. According to a story in today's New York Times, they shared their formulas. This apparently was in the interest of 'transparency', but it made it a cinch for the banks to engineer questionable... [read more]
The Ascent of Ranking Algorithms
Algorithmic ranking is on the rise. Everywhere I turn, something or the other is being ranked analytically. Ranking web pages based on relevance, pioneered by Google’s PageRank, maybe the best-known example of algorithmic ranking. Also ubiquitous are ranking algorithms inside recommender systems. Given an individual’s... [read more]
Your Friend the Algorithm
With exponential trends of data growth and computational power colliding, the world is literally drowning in data. There’s too much data, and not enough analysis. Fortunately, companies are using technology to capture and integrate data and sophisticated mathematical procedures to analyze data and make better decisions—decisions that... [read more]
Data Miners: Participate in 3rd Annual Survey
Data Miners: Pleaseparticipate in our 3rd Annual Data Miner SurveySurvey Link:www.RexerAnalytics.com/Data-Miner-Survey-Intro2.html Access Code: SD4W2Pleasealso help us spread the word to more data miners. This link and access code can be emailed to others.Wethink that this research will be of interest to many... [read more]
#2: Here's a thought...
An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:Who’s in charge here?A recent survey of business and IT leaders carried out by Kalido shows that over two thirds of businesses have no clear data governance program, and have no plans to implement one — and 13% are unclear as to... [read more]
Software Dependence & Model Accuracy
I work a lot with the Data Mining/Analytics business development team at my current company. My primary role is to be there during client presentations and conferences and answer the client’s queries on modeling techniques, and the USP of our approach related to model performance and/or business benefits.During one of these interactions... [read more]
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Webinar: Making Sense of Service Organization Audits
When: Tue, 2012-02-14 02:00
Banish Poor Application Performance: Eliminate Business Disruptions, Increase End User Productivity
When: Wed, 2012-02-22 11:00
O’Reilly Strata 2012
When: Tue, 2012-02-28 08:00
IFSUG Summit
When: Sun, 2012-03-04 08:00
Predictive Analytics World, March 4-10, 2012 San Francisco
When: Sun, 2012-03-04 09:00
Text Analytics World Topics & Case Studies – March 6-7, 2012 in San Francisco
When: Tue, 2012-03-06 09:00
Predictive Analytics World, April 25-26, 2012 in Toronto
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Salford Analytics and Data Mining Conference
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Big Data World Europe
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