DATA MINING: Predicting Tipping Points
Book Details
Author(s)Dr Philip Gordon PhD
ISBN / ASINB00BAY7IPK
ISBN-13978B00BAY7IP1
MarketplaceFrance 🇫🇷
Description
Tipping Points as evidenced in global events are, in many ways, influenced by media.
This just released, ground-breaking book DATA MINING: PREDICTING TIPPING POINTS by Dr. Philip Gordon, PhD, details three case studies which were selected on the basis of common Tipping Point Attributes.
Each involved media contagiousness and stickiness during their development and, each arrived at a dramatic moment in time, which could be characterized by the phenomenon of Tipping Points.
Recent DATA MINING and TIPPING POINT Case Studies:
The first case study, the 2008 Presidential Campaign of Barack Obama
was chosen to examine a narrower scope and timeframe for the application of the analysis. In contrast to the second case study, the International Financial Crisis of 2007–2010, involves a broader data study period to identify trends and more complex issues.
The third study, Climate Change was included as consideration because the data mining research and analysis revealed critical relationships
between Media Impact and Global Events.
As the issue of Climate Change is still evolving, Dr. Gordon provides a Data Mining and Tipping Point Theory methodology for analyzing and
predicting our planets’ most pressing Global Tipping Points.
This just released, ground-breaking book DATA MINING: PREDICTING TIPPING POINTS by Dr. Philip Gordon, PhD, details three case studies which were selected on the basis of common Tipping Point Attributes.
Each involved media contagiousness and stickiness during their development and, each arrived at a dramatic moment in time, which could be characterized by the phenomenon of Tipping Points.
Recent DATA MINING and TIPPING POINT Case Studies:
The first case study, the 2008 Presidential Campaign of Barack Obama
was chosen to examine a narrower scope and timeframe for the application of the analysis. In contrast to the second case study, the International Financial Crisis of 2007–2010, involves a broader data study period to identify trends and more complex issues.
The third study, Climate Change was included as consideration because the data mining research and analysis revealed critical relationships
between Media Impact and Global Events.
As the issue of Climate Change is still evolving, Dr. Gordon provides a Data Mining and Tipping Point Theory methodology for analyzing and
predicting our planets’ most pressing Global Tipping Points.




