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. Spatio-Temporal Uncertain (Social) Networks. . Chanhyun Kang. Computer Science Dept.. University of Maryland, USA. chanhyun@cs.umd.edu. Andrea Pugliese. DEIS Dept.. University of Calabria, Italy. apugliese@deis.unical.it. 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. Tempora. l. . and Spatial Constraints on Text Similarity. James Pustejovsky. Brandeis . University. March . 13, . 2012. Measuring Similarity. Objects. Events. Object similarity is a function of:. Sortal. Shallow Temporal Reasoning. Dan Roth. *. , Heng Ji. †. , Taylor Cassidy. †. , Quang Do. *. *. Computer Science Department. University of Illinois at Urbana-Champaign. †. Computer Science Department and Linguistics Department, . 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. 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.. The Data Analysis and Intelligent Systems . (DAIS) Lab  . aims . at the development of data analysis, data mining, GIS and artificial intelligence . techniques to solve critical problems of our society.. -Temporal Data in. Massive Multiplayer Online Games. Matthias Schubert. joined. . work. . with. Hans-Peter Kriegel . and. Andreas . Züfle. Lehrstuhl für Datenbanksysteme. Institut für Informatik. (. microT. Study). Genevieve Dunton, Stephen . Intille. , Alex Rothman, . Don . Hedeker. , Adam Leventhal, Susan Redline. Behavioral . Problems: . Physical Inactivity, Sitting, Poor Sleep. Goal. : Assess differences in the micro-temporal processes underlying the adoption versus maintenance of . Deep Learning for CT Scan Identification of Temporal Bone and Skull Base Landmarks. The temporal bone and skull base are complex areas that have multiple nerves, arteries, veins and other important structures encased in bone. 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 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.