PPT-Spatial Query Languages

Author : yoshiko-marsland | Published Date : 2017-12-27

Standard Database Query Languages Outline What is a Query Query Language Example Database Tables SQL Overview 3 Components SELECT statement with 1 table Multitable

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Spatial Query Languages: Transcript


Standard Database Query Languages Outline What is a Query Query Language Example Database Tables SQL Overview 3 Components SELECT statement with 1 table Multitable SELECT statements Why spatial extensions are needed. Group 4: . Nipun . Garg, Surabhi . Mithal. http://www-users.cs.umn.edu/~smithal/. Chapter Organization. 2. OLD Organization. 5.1 . Evaluation of Spatial Operations . 5.2 . Query Optimization . 5.3 . http://. www.somethingofthatilk.com/index.php?id. =135. Question answering and Summarization. David Kauchak. CS159, Spring 2011. Admin?. Brin. , 1998 Experiments. Were only able to extract from a subset of the repository. A . Deep Dive into Spatial Indexing. Michael Rys. Principal Program Manager. Microsoft Corporation. @. SQLServerMike. DBI405. Q: Why is my Query . so. Slow?. A: . Usually . because the index isn’t being used.. Introduction to Spatial Computing CSE 5ISC. Some slides . adapted from . Worboys. . and . Duckham. (2004) . GIS: A Computing Perspective. , Second Edition, CRC Press. Two classes per week. Tuesday and Friday 2:30pm – 4:00pm. Jennifer Rexford. Princeton University. http://. www.cs.princeton.edu. /~. jrex. Joint work with . Srinivas. . Narayana. , Mina . Tahmasbi. , and David Walker. To appear in NSDI’16: . http://. www.cs.princeton.edu. SpatialHadoop. Type: Research Paper (Experimental evaluation). Authors: Ahmed . Eldawy. , . Louai. . Alarabi. , Mohamed F. . Mokbel. Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. Spatial-Keyword Queries Over Stream. Xiang Wang. 1*. , Ying Zhang. 2. , . Wenjie. . Zhang. 1. ,. . Xuemin. . Lin. 1. , . Wei Wang. 1. 1. The University of New South Wales, Australia. 2. University . Robert Christensen. , Feifei Li. University of Utah. Lu Wang, Ke Yi. Hong Kong University. Of Science and Technology. Motivation. Geo Spatial Data is being collected on a massive scale. Approximate aggregations is fast and often effective for this data. Kepler. Architecture. Presentation in the 2017 ASAP International Conference. Wenhai. Li. School of Computer, Wuhan University. 7/11/2017. Content. Motivation. Driving Spatial Join in GPU. Cell-Driven Execution on Virtual Warp. Dong Xie. *, Feifei Li*, Bin Yao. . , Gefei Li. . , Liang Zhou. . , . Minyi. . Guo. . Spatial Data is Ubiquitous!. Location-based Services. IoT. Projects & Sensor Networks. Social Media. Problems of Existing Systems. Queries in . R-trees. Apostolos. Papadopoulos . and . Yannis. . Manolopoulos. Presenter: Uma . Kannan. Contents. Introduction. Spatial . data Management Research . Spatial . Access Methods . Research. Ke. Deng, . Kexin. . Xie. , Kevin . Zheng. and . Xiaofang. Zhou. 9/06/2016. 1. 2. Chapter Overview. Trajectory Query Classification. Trajectory Similarity Measure. Trajectory Data Index. Trajectory Query Processing. Location-based Services 2.0. Mohamed F. . Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. Location-based Services. Many people like to use these advanced technologies and devices. Xu*. ,. . Zheng Yang*, . N. ic. hola. s. . D. . Lane^, . Zuwei. . Yin. *. *School of Software, Tsinghua University. ^University. . College. . London. . and. . Bell. . Labs. 9.13. . in. . Maui,.

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