Data Mining
Thoughts on Data Mining
Data Mining does not convey the different aspects of data mining / knowledge discovery. The basic types of Data Mining are: Descriptive data mining, and
Predictive data mining […]
Articles by Mark Reynolds
Industry and Applications
Did they actually say that?
On occasion we should all read these quotes and realize that humor is rampant! […]
Information Systems
Penny Rounding Problem
A computer rounding problem that I like to call “The Penny Rounding Problem” has been around for many, many years. At least two movies have been made with this problem a core element. […]
AI
Artificial Intelligence vs Algorithms
I first considered aspects of artificial intelligence (AI) in the 1980s while working for General Dynamics as an Avionics Systems Engineer on the F-16. […]
Industry and Applications
Making of a Fly
While watching a TED video about algorithms, mention was made of an unrealistic price on Amazon. Apparently two retailers had an out-of-control computer feedback loop. […]
Digital Oilfield
Making New IT Work for the Business
When trying to connect technology innovation with business, an intelligent interface between the two is required. It must be able to translate business opportunity into technical requirements; innovate, test and evaluate; and seamlessly implement new technology into the business. […]
Predictive Analytics
Predictive Analytics
Predictive analytics is used in actuarial science, financial services, insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields (Wikipedia). […]
Knowledge Systems
What is Content?
The operations system designer should perform content analysis. Content analysis is both qualitative and quantitative. […]
Analytics
The Value of Real-Time Data
Real-Time data is a challenge to any process-oriented operation. But the functionality of the data is difficult to describe in such a way that team members not well versed in data management. … (3-part series) […]
Information Systems
The Data-Information Hierarchy, Part 3
The Data-Information Hierarchy is frequently represented as
Data –> Information –> Knowledge –> Understanding –> Wisdom.
Or it is sometimes shortened to 4 steps, omitting Understanding. But, in fact, there are two predecessor steps: chaos and symbol. … (3-part series) […]