Richard Hoptroff

Richard Hoptroff obtained a PhD in Physics in London for developing optimization algorithms and neural networks for industrial applications including control systems and robot vision. After graduating in 1992, he applied the same techniques to economics and business modeling. After initially working as a consultant, he started Right Information Systems (RIS), a software company dedicated to producing what was to become known as data mining software. RIS's premier product was 4Thought, a neural-network based modeling and forecasting package. In 1997, RIS was acquired by Cognos Inc of Ottawa, Canada, where he became Director of Data Mining. In 1999 he returned to independent consulting and is currently based in Amsterdam in the Netherlands.

Publications

An Introduction to Information Technology and Business Intelligence
An Introduction to Information Technology and Business Intelligence
Stephan Kudyba, Richard Hoptroff. © 2002. 21 pages.
The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry...
Data Mining and Business Intelligence: A Guide to Productivity
Data Mining and Business Intelligence: A Guide to Productivity
Richard Hoptroff, Stephan Kudyba. © 2001. 180 pages.
Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the...
An Introduction to Information Technology and Business Intelligence
An Introduction to Information Technology and Business Intelligence
Stephan Kudyba, Richard Hoptroff. © 2001. 21 pages.
The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry...
Data Mining Defined
Data Mining Defined
Stephan Kudyba, Richard Hoptroff. © 2001. 20 pages.
Over the years, the term data mining has been connected to various types of analytical approaches. In fact, just a few years ago, let’s say prior to 1995, many individuals in the...
Steps to Success for the Mining Process
Steps to Success for the Mining Process
Stephan Kudyba, Richard Hoptroff. © 2001. 15 pages.
The previous chapters have given you some background on the core components of corporate IT systems along with software technology that promotes “business intelligence”...
Essential Mining Approaches to Problem Solving
Essential Mining Approaches to Problem Solving
Stephan Kudyba, Richard Hoptroff. © 2001. 11 pages.
Forecasting and “what if” mining generally incorporates the application of regression and neural network methodologies. In certain cases, for more simple applications, univariate...
A Closer Look at Marketing/Advertising, Promotions and Pricing Policies Using Econometric Based Modeling
A Closer Look at Marketing/Advertising, Promotions and Pricing Policies Using Econometric Based Modeling
Stephan Kudyba, Richard Hoptroff. © 2001. 24 pages.
Two core business strategies throughout the realm of commerce, which take their root from traditional economic theory, involve the incorporation of marketing, advertising and...
Turning Your Brick and Mortar into a Click and Mortar
Turning Your Brick and Mortar into a Click and Mortar
Stephan Kudyba, Richard Hoptroff. © 2001. 12 pages.
I recently read an article about words and terms that evolved exclusively from the American culture. This piece traced the history of American-born verbiage throughout the 1900s...
Improving the Web Experience through Real-Time Analysis (A Market Basket Approach)
Improving the Web Experience through Real-Time Analysis (A Market Basket Approach)
Stephan Kudyba, Richard Hoptroff. © 2001. 13 pages.
The previous chapter introduced the evolution of the information economy as it addressed the progress of commerce from “brick and mortar” to “click and mortar” corporate...
Bringing It All Together (Data Mining on an Enterprise Level)
Bringing It All Together (Data Mining on an Enterprise Level)
Stephan Kudyba, Richard Hoptroff. © 2001. 18 pages.
Up to now we have presented the fundamental building blocks to understanding the concept of data mining and addressed the prevailing applications within the corporate environment...
What the Future Holds for Data Mining
What the Future Holds for Data Mining
Stephan Kudyba, Richard Hoptroff. © 2001. 12 pages.
Predicting the future is always a difficult task, of course that depends on how far into the future one attempts to delve. With regard to data mining, there’s no doubt the future...