Category Archive

How to Include or Exclude Variables in a Strategy or Decision Tree

How to Include or Exclude Variables in a Strategy or Decision Tree March 6, 2018. by Dr. Eric Hart Including or excluding variables in a strategy or decision tree depends on whether you’re talking about an automatically grown tree, or an interactively grown tree. If you’re growing a decision tree automatically, you can’t force a variable into the tree. You can set which variables are eligible to be used in the tree, but the algorithm that performs the…

Data Preparation 101 – The Objective of Data Preparation

Data Preparation 101 – The Objective of Data Preparation May 2, 2018. by Dr. Mamdouh Refaat Data preparation is a fundamental aspect of the modeling process. In fact, it is the most important part of the process since it occupies up to 80% of the total time of the project. The objective of data preparation is to prepare what is known as the modeling view or mining view. The modeling view is the table that contain all…

Angoss 10.7.3 Released

Version 10.7.3 of Angoss Analytics Software Suite has been released for Windows and Red Hat Linux 7. This includes KnowledgeSEEKER, KnowledgeSTUDIO, KnowledgeREADER, and KnowledgeSTUDIO for Apache Spark.   What’s New in Version 10.7.3: Decision Trees and Ensemble Tree Models Two new measures added in Decision Trees: Unadjusted log p-value and Bonferroni-adjusted log p-value. R and Python Language Integration R integration is now supported for R versions 3.5.x. Platform Support Angoss software is…

How do I change an Ordinal Variable to a Continuous Variable?

How do I change an Ordinal Variable to a Continuous Variable? March 13, 2018. by Dr. Eric Hart Not all ordinal variables can be treated as continuous. If the variable you’re considering is the result of a survey where people listed their satisfaction on a scale of 1 to 5, it doesn’t make sense to try to change this variable to a continuous variable, it is an ordinal variable, and should always be treated…

Differentiating Machine Learning, Artificial Intelligence, Data Science, Data Mining and Predictive Analytics

You can enter this question in an internet search engine and check what answers you get. Rather than doing that I will answer this question simply by “rewriting” history, so I can say it is “based on a true story”. During the Second World War, Alan Turing and his colleagues at Bletchley Park succeeded in building a machine that used electromechanical components to decipher the communications to and from German submarines operating in the Atlantic.

How to Save $22k Per Data Analyst

A recent blog post from James Haight at Blue Hills Research took a look at the average amount of time – and money – spent on inefficient data prep. The results were pretty sobering, to the tune of two hours per day spent on data prep which equates to roughly $22,000 per year, per analyst. That’s a pretty hefty price tag for a low value-add activity. Imagine if you had a team of…

How will overseas big data turbulence impact the U.S.?

The regulatory concepts involved with big data are still extremely new, as the technology has not been in the mainstream for more than a couple of years and laws take a while to formulate and pass in any nation.

Security, privacy concerns intensify in big data

Advanced analytics technology remains one of the hottest segments of the IT sector today, and this is expected to be the case for years to come thanks to several trends that make these solutions more desirable among the world's private and public industries.

Where big data, general governance meet

As big data becomes a more central aspect of corporate strategy, many firms might be missing some of the more important steps toward optimal information governance in their backend systems and everyday operations.

Analytics to ring in more sustainable future for private sector

Business intelligence solutions have been helping leaders identify opportunities for process and operational improvements for decades, but today's advanced analytics are far beyond those of the past in terms of effectiveness, efficiency and power.