PPT-Queries

Author : trish-goza | Published Date : 2018-01-06

Select by Attribute Select by Location What is a Query A query extracts information from a data table for further use Once extracted you can Print calculate stats

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Queries: Transcript


Select by Attribute Select by Location What is a Query A query extracts information from a data table for further use Once extracted you can Print calculate stats edit graph save as a new layer do more queries. joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. Software-Defined Networks. Srinivas Narayana. Jennifer Rexford and David Walker. Princeton University. Where’s the packet loss?. A. B. Faulty network device(s) along the way. But where?. 2. 100 . pkts. Johannes . Gehrke. Department . of Computer Science, Cornell University . With . Gabriel Bender, Nitin Gupta, Lucja Kot, Sudip Roy (. Cornell) and . Milos Nikolic, Christoph Koch (EPFL) . Introduction to Entangled Queries . Multi-Space Planning Problems. :. . How to handle many motion planning queries?. Jean-Claude . Latombe. Computer Science Department. Stanford University. 1. . . (based on discussions with Tim . Bretl. Jie Bao Chi-Yin Chow Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota – Twin Cities. Wei-Shinn Ku. Department of Computer Science and Software Engineering. Action Queries. CS1100. 1. Advanced Queries. Action Queries. So far we have used queries to extract and view data. But can also be . used to create tables, perform data entry, modify records, etc. .. Software-Defined Networks. Srinivas Narayana. Jennifer Rexford and David Walker. Princeton University. Where’s the packet loss?. A. B. Faulty network device(s) along the way. But where?. 2. 100 . pkts. Dana Ron . Tel-Aviv University. ADGA, October 2015. Efficient (Centralized) . Algorithms. Usually, when we say that an algorithm is . efficient . we mean that it runs in time . polynomial. in the input size . SPARQL Endpoints. Dilshod IBRAGIMOV, KATJA HOSE, TORBEN BACH PEDERSEN, ESTEBAN ZIM. ÁNYI.. Earthquake . in the . Pacific in March 2011 tsunami a . . over. . Incomplete. Databases. Werner . Nutt. j. oint. . work. . with. Marco . Montali. , Sergey . Paramonov. , Simon . Razniewski. , . Ognjen. . Savkovic. , . Alex . Tomasi. , . Fariz. . Darari. Community Question . Answering. Date. : . 2014/09/25. Author . : . Haocheng. Wu, Wei Wu, Ming Zhou, . Enhong. Chen, Lei . Duan. , . Heung-Yeung Shum. Source. : . WSDM’14. Advisor: . Visual Queries Dr. Neil H. Schwartz Visualization: Defined Visualization refer to the 2D and 3D static and animated visual displays that depict conditions, situations, processes, places or events as they appear in maps, diagrams, graphs, pictures, schematics, data-based spatial or linear renditions, and immersive virtual environments Pankaj. . Vanwari. . Under guidance of . Dr. S. . Sudarshan. . Overview of Presentation. Introduction to Entity Queries. Keyword search on structured data. Querying over unstructured data. Entity queries using ontology based extraction. A . case . study. Presented by . Dr. . Kalyan. . sBhattacharjee. , FAA, IIT Delhi. Growth of RTI applications in different P. ublic Authorities . of Govt. of . India. (Source: CIC Annual Report 2015-16, Table 2.4).

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