SOCR News 2020 UM AIM Seminar Spacekime Dinov - Revision history

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2020-01-25T21:56:26Z

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2020-01-24T17:33:40Z

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2020-01-23T16:20:14Z

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2020-01-23T16:19:52Z

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2020-01-23T15:56:35Z

‎References

Dinov at 23:09, 22 January 2020

2020-01-22T23:09:25Z

Dinov at 23:07, 22 January 2020

2020-01-22T23:07:28Z

Dinov: Created page with "== SOCR News & Events: Spacekime Analytics == ==Logistics== [[Image:SOCR_Hat_2019.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]] * '''Sem..."

2020-01-22T23:05:41Z

Created page with "== SOCR News & Events: Spacekime Analytics == ==Logistics== 150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] * '''Sem..."

New page

== [[SOCR_News | SOCR News & Events]]: Spacekime Analytics ==

==Logistics==
[[Image:SOCR_Hat_2019.png|150px|thumbnail|right| [http://socr.umich.edu SOCR Resource] ]]
* '''Seminar Series''': [http://dept.math.lsa.umich.edu/seminars_events/events.php?eventdefid=3&dt_begin=2020-01-01&dt_end=2020-06-30 Applied Interdisciplinary Mathematics (AIM)]
* '''Date/Times''': Friday, February 14, 2020, 3-4 PM.
* '''Place/Time''': [https://maps.studentlife.umich.edu/building/east-hall East Hall (#1084), University of Michigan]
* '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov]
* '''Slides''': ...
* '''Title''':
* '''URL''': [[SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov | http://wiki.socr.umich.edu/index.php/SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov]]

==Abstract==
...

<hr>

==References==
* [https://spacekime.org Spacekime.org]
* [https://tciu.predictive.space Data Science: Time Complexity and Inferential Uncertainty (TCIU)]
* SOCR Home page: http://www.socr.umich.edu

{{translate|pageName=http://wiki.socr.umich.edu/index.php/SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov}}

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 * '''Place/Time''': [https://maps.studentlife.umich.edu/building/east-hall East Hall (#1084), University of Michigan]
 * '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov]
-* '''Slides''':  ...pending...
+* '''Slides''':  [http://socr.umich.edu/docs/uploads/2020/Dinov_TCIU_SpaceKime_2020_AIM_UM.pdf Spacekime Slides]
 * '''Title''': ''Data Science, Time Complexity, and Spacekime Analytics''
 * '''[http://myumi.ch/2DP93 URL]''': [[SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov | http://wiki.socr.umich.edu/index.php/SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov]]

@@ Line 7: / Line 7: @@
 * '''Place/Time''': [https://maps.studentlife.umich.edu/building/east-hall East Hall (#1084), University of Michigan]
 * '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov]
-* '''Slides''':  ...
+* '''Slides''':  ...pending...
 * '''Title''': ''Data Science, Time Complexity, and Spacekime Analytics''
 * '''[http://myumi.ch/2DP93 URL]''': [[SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov | http://wiki.socr.umich.edu/index.php/SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov]]

← Older revision		Revision as of 16:19, 23 January 2020
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	==Abstract==		==Abstract==
−	...	+	The immersion of Big Data in all human experiences presents important challenges of managing, modeling, analyzing, interpreting, and visualizing complex information. There is a substantial need to develop, validate, productize, and support novel mathematical techniques, advanced statistical computing algorithms, transdisciplinary tools, and effective artificial intelligence apps.

		+
		+	Spacekime analytics is a new technique for modeling high-dimensional longitudinal data. This approach relies on extending the notions of time, events, particles, and wavefunctions to complex-time (kime), complex-events (kevents), data and inference-functions. We will illustrate how the kime-magnitude (longitudinal time order) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. The mathematical foundation of spacekime calculus will reveal various statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes from the classical 4D Minkowski spacetime to a 5D spacetime manifold, where a number of interesting mathematical problems arise.
		+
		+
		+	Direct data science applications of spacekime analytics will be demonstrated using simulated data, clinical observations (e.g., UK Biobank), and environmental air quality data.
		+
		+
		+	Joint work with [http://www.socr.umich.edu/people/Milen_Velev.html Milen V. Velev] (Burgas University, Bulgaria).

@@ Line 1: / Line 1: @@
-== [[SOCR_News | SOCR News & Events]]: Data Science, Time Complexity and Spacekime Analytics ==
+== [[SOCR_News | SOCR News & Events]]: Data Science, Time Complexity, and Spacekime Analytics ==
 ==Logistics==
@@ Line 8: / Line 8: @@
 * '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov]
 * '''Slides''':  ...
-* '''Title''': ''Data Science, Time Complexity and Spacekime Analytics''
+* '''Title''': ''Data Science, Time Complexity, and Spacekime Analytics''
 * '''URL''': [[SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov | http://wiki.socr.umich.edu/index.php/SOCR_News_2020_UM_AIM_Seminar_Spacekime_Dinov]]

@@ Line 5: / Line 5: @@
 * '''Seminar Series''':  [http://dept.math.lsa.umich.edu/seminars_events/events.php?eventdefid=3&dt_begin=2020-01-01&dt_end=2020-06-30 Applied Interdisciplinary Mathematics (AIM)]
 * '''Date/Times''': Friday, February 14, 2020, 3-4 PM.
-* '''Place/Time''': [https://maps.studentlife.umich.edu/building/east-hall East Hall (#1084), University of Michigan]
+* '''Place/Time''': [https://maps.studentlife.umich.edu/building/east-hall East Hall (#1084), University of Michigan], [https://lsa.umich.edu/psych/resources/psychology-east-hall-floor-plan/_jcr_content/par/download/file.res/PsychologyEastHall0-5.pdf EH1084 Floor Plan]
 * '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov]
 * '''Slides''':  [http://socr.umich.edu/docs/uploads/2020/Dinov_TCIU_SpaceKime_2020_AIM_UM.pdf Spacekime Slides]

@@ Line 20: / Line 20: @@
 ==References==
 * [https://spacekime.org Spacekime.org]
-* [https://tciu.predictive.space Data Science: Time Complexity and Inferential Uncertainty (TCIU)]
+* [https://tciu.predictive.space Data Science: Time Complexity and Inferential Uncertainty (TCIU.predictive.space)]
-* SOCR Home page: http://www.socr.umich.edu
+* [https://www.socr.umich.edu SOCR Home page (socr.umich.edu)]
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