Data Science
Data Science This book presents spacekime analytics which addresses the challenges of interrogating Big Data by transforming the notion of multiple samples, acquired in the 4D Minkowski spacetime,…
Specifikacia Data Science
Data Science
This book presents spacekime analytics which addresses the challenges of interrogating Big Data by transforming the notion of multiple samples, acquired in the 4D Minkowski spacetime, into a 5D spacekime extension manifold. The book uses an alternative data representation based on complexifying time and lifting the classical 4D universal spacetime to a 5D spacekime manifold. This embedding of the 4D space into a 5D spacekime manifold facilitates a new kind of data analytics, which naturally reduces to its classical 4D spacetime analogue associated with unobserved kime-phases (timedirections).
The spacekime representation allows us to resolve some of the problems of time, define mathematical equations, and derive analytical expressions describing the natural laws of physics that agree with their standard 4D counterparts. The rationale for this extension is multifold. In addition, the authors demonstrate that careful data representation, reconstruction, modeling, and analytics in the extension spacekime manifold could potentially expose valuable information that can enhance observation-based scientific inference, data-driven predictions, and evidence-based decision-making processes.
Data Science
R for Political Data Science
Big Data
Data Literacy
Data Mining
Rottner DATA BOX 1
Rottner Fire Data 1
Handling Qualitative Data
Qualitative Data Analysis
Data Model Resource Book
Engineering Science
Rottner DATA BOX 2
Rottner Fire Data 2
Data Management in R
Gay Science
Occult Science
Rottner Fire Data 3