Data Mining Predicting Tipping Points

Download Data Mining Predicting Tipping Points full books in PDF, epub, and Kindle. Read online free Data Mining Predicting Tipping Points ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

DATA MINING: Predicting Tipping Points

DATA MINING: Predicting Tipping Points
Author :
Publisher : Lulu.com
Total Pages : 204
Release :
ISBN-10 : 9781481261821
ISBN-13 : 1481261827
Rating : 4/5 (827 Downloads)

Book Synopsis DATA MINING: Predicting Tipping Points by : Dr. Philip Gordon, PhD

Download or read book DATA MINING: Predicting Tipping Points written by Dr. Philip Gordon, PhD and published by Lulu.com. This book was released on 2013-01-31 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tipping Points as evidenced in global events are, in many ways, influenced by media. DATA MINING for predicting and analyzing world events. This just released, ground-breaking book: DATA MINING: PREDICTING TIPPING POINTS by Dr Philip Gordon, Ph.D, 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 only be characterized by the phenomenon of Tipping Points. Three recent case studies explore the leading edge technologies of DATA MINING and the theory of TIPPING POINTS: 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, which 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. Review Comments: "The genius of the formulation of DATA MINING: PREDICTING TIPPING POINTS is that it takes explicit account of the role of social media and the internet at facilitating bifurcations and promoting dynamical instability. In effect, we have trimmed a few feet of tail off the kite. As a reader, I was informed and educated as to the factors which conspire to influence stability / instability in complex social systems. ...the book does a good job of making sense of past bifurcations and dynamical instabilities, namely political instability, our perception of global climate change, and international economic crises...my compliments on a truly insightful Media Tipping Points." -Prof. Dr. (med.) Peter S. Geissler, A.B., B.S., M.S., M.Phil., Ph.D. (Yale) M.A., M.Eng., M.S., Ph.D., M.S., M.D., M.Phil.(Cantab) "A truly fascinating book that (teaches) a whole new way of thinking about major events and how the media can influence them. - Being a political junkie I was heavily into the media coverage of the 2008 Obama election and the global financial meltdown both via TV and the blogosphere. I now find myself looking for the tipping points and stickiness factors as other key events unfold. Usually, I have trouble reading theoretical books but this one was an easy read and if you want supporting data then the references are there. This could become a solid reference for those in the media who truly want to understand what they are reporting. Highly recommended and I look forward to Dr. Gordon's ongoing analysis of (future) events." -Dr. Ralph Moorhouse, Ph.D. Political junkie, Expert: natural polymers for industries "The application of Data Mining and Tipping Point Theory to media and global events, particularly the financial crisis and climate change, is a fascinating one." -Dr. Serge Besanger, PhD Expert, International Monetary Fund ..".very interesting application (of the Tipping Point Theory)...potential opportunity for predicting other global events, i.e.: Egyptian crisis and perhaps, even terrorism activities." -Dr. Adam AJLANI, PhD Professor, Sciences Politic and Political Consultant, France TV1


DATA MINING: Predicting Tipping Points Related Books

DATA MINING: Predicting Tipping Points
Language: en
Pages: 204
Authors: Dr. Philip Gordon, PhD
Categories: Political Science
Type: BOOK - Published: 2013-01-31 - Publisher: Lulu.com

DOWNLOAD EBOOK

Tipping Points as evidenced in global events are, in many ways, influenced by media. DATA MINING for predicting and analyzing world events. This just released,
Handbook of Mobility Data Mining, Volume 2
Language: en
Pages: 212
Authors: Haoran Zhang
Categories: Business & Economics
Type: BOOK - Published: 2023-01-29 - Publisher: Elsevier

DOWNLOAD EBOOK

Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advance
Addressing Tipping Points for a Precarious Future
Language: en
Pages: 376
Authors: Timothy O'Riordan
Categories: Business & Economics
Type: BOOK - Published: 2013-08-22 - Publisher: Oxford University Press

DOWNLOAD EBOOK

Tipping points are zones or thresholds of profound changes in natural or social conditions with very considerable and largely unforecastable consequences. Tippi
Commercial Data Mining
Language: en
Pages: 304
Authors: David Nettleton
Categories: Computers
Type: BOOK - Published: 2014-01-29 - Publisher: Elsevier

DOWNLOAD EBOOK

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible re
Machine Learning Algorithms and Applications in Engineering
Language: en
Pages: 339
Authors: Prasenjit Chatterjee
Categories: Computers
Type: BOOK - Published: 2023-01-09 - Publisher: CRC Press

DOWNLOAD EBOOK

Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify p