PPT-Spatial and Spatio-temporal

Data Uncertainty Modeling and Querying Mohamed F Mokbel Department of Computer Science and Engineering University of Minnesota wwwcsumnedumokbel mokbelcsumnedu 2 Talk Outline Introduction to Uncertain Data. Vance T. . Lehman, MD. Kirk M. . Welker, MD. David F. . Black, MD. Mathew A. . Bernstein, PhD. Department of Radiology. Mayo . Clinic, Rochester MN. Background. The temporal lobe is anatomically and functionally complex. in medical data. Luca Anselma. a. , Paolo Terenziani. b. a. Dipartimento di Informatica, Università di Torino, Torino, Italy. , Email: . anselma@di.unito.it. b. Dipartimento di Informatica, Università del Piemonte Orientale “Amedeo Avogadro”, Alessandria, Italy. . Space - Time Volumes. Fuzzy Volume Algebra. Institute . of Computer Science . Foundation for Research and Technology - Hellas. Manos Papadakis. January 2015. Exploring the Past (1/5). Past is a collection of . Really. Temporal?. William Cushing. Ph.D. Thesis Defense. Special Thanks:. Mausam. Kartik. . Talamadupula. J. Benton. Committee:. Subbarao. . Kambhampati. Chitta. . Baral. Hasan. . Davulcu. . David E. Smith. Prahlad Jat. (1). and Marc Serre. (1). (1) University of North Carolina at Chapel Hill. Agenda. Introduction. Mean Trend Analysis. Space/Time Covariance Analysis. Introduction. Temporal GIS analysis process. May 6. August 29. September 14. IKONOS Imagery. Rosemount Research & Outreach Center. April. May. June. July. Multitemporal Landsat 5 imagery. Inter-temporal covariance provides separability not available in single date imagery. Institute . of Computer Science . Foundation for Research and Technology - Hellas. Manos . Papadakis. & Martin . Doerr. Workshop: Extending, Mapping and Focusing the CRM. 19th . International Conference on Theory . trend of mother to child HIV transmission in . western . Kenya, . 2007-2013. Anthony Waruru. , Thomas Achia, . Hellen . Muttai, . Lucy . Ng’ang’a, . Abraham . Katana, . Peter . Young, . Jim . Tobias, Peter Juma, . Problem. Segmenting moving . f. oreground in a video. Related work & intuitions. Dynamic background ~ dynamic textures . Image sequences of certain textures moving and changing under certain properties.. Jie Bao, . Ruiyuan. Li, . Xiuwen. Yi, Yu Zheng. Urban Computing Group. Microsoft Research, China. Motivation. Bridge the gap between . massive. . trajectory data. and . urban computing applications. Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. In recent years, withadvances in multidetector CT, new images can be obtainedusing reconstruction of the derived section in many planes.[2]The middle and inner ear anatomical structures can beobserved Kim A. cheek and . caroline. George. College of education and human services. University of north . florida. Defining Scale*. Spatial, temporal, or numeric . magnitude . of an object or event; measurable in standard or nonstandard units:. Yaxing . Wei. . &. Suresh K.S. . Vannan. Environmental Sciences Division. Oak Ridge National Laboratory. Spatial Data. Any data with location information. Feature data: . “. object. ”. with location and other properties.