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Kirk Borne
  • Male
  • Columbia, MD
  • United States
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Welcome, Kirk Borne!

Profile Information

Short Bio:
Data Science, Big Data, and Data Mining researcher, collaborating with folks in many disciplines, from many organizations and agencies.
My Website or LinkedIn Profile (URL):
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Other
Years of Experience in Analytical Role:
Professional Status:
Technical, Professor
Networking, New Venture
What is your Favorite Data Mining or Analytical Website?
What Other Analytical Website do you Recommend?
Your Company:
Booz-Allen Hamilton
Management Consulting
How did you find out about AnalyticBridge?

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Kirk Borne's Blog

7 Traps to Avoid Being Fooled by Statistical Randomness

Posted on January 9, 2017 at 6:00pm 5 Comments

Randomness is all around us. Its existence sends fear into the hearts of predictive analytics specialists everywhere -- if a process is truly random, then it is not predictable, in the analytic sense of that term.  Randomness refers to the absence of patterns, order, coherence, and predictability in a system. 

Unfortunately, we…


Feature-Rich Toys and Data

Posted on January 9, 2015 at 2:30pm 0 Comments

We all love features... lots of features! our new cars, in our gadgets, in our smart phones, in our toys, and in our data sets! 

Consider this toy that we found at the thrift store for under $6.00:

This toy house delivers numerous musical and other sound effects that are…


Learning from Data, Big and Small, using Characterizations

Posted on May 31, 2014 at 11:30am 0 Comments

In a previous article, we defined data charaterization as a “methodology for generating descriptive parameters that describe the behavior and characteristics of a data item, for use in any unsupervised learning algorithm to find features, clusters, patterns, and trends in the data without the bias of incorporating class…


Register now to attend the Useful Business Analytics Summit in Boston

Posted on March 29, 2014 at 11:30am 0 Comments

Do you know how to extract the most useful insights from your business data in order to make better, smarter, faster business decisions?

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