PPT-Queries

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. Alexander . Kotov. (UIUC). . Pranam. . Kolari. , Yi . Chang (Yahoo!). Lei . Duan. (Microsoft). Motivation. Improvements in ranking can be achieved in two ways:. Better features/methods for promoting high-quality result pages. 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. Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Magdalena . Balazinska. ,. Christopher . Ré. . and Dan . Suciu. University of Washington. One slide overview of motivation. Data are . uncertain. in many applications. Business: . Dedup. , Info. Extraction. Ryan . McIntyre. MCITP. , MCPD. Director. , Portals & Collaboration. SharePoint 2013 Search Overview. Changes from 2010. Search Solutions. OOTB Web . Parts Review. API. Server side. Client side. Leave Now…Or…. Pawe. ł. . Gawrychowski. * and . Pat Nicholson**. *University of Warsaw. **Max-Planck-. Institut. . für. . Informatik. Range . Queries . in Arrays. Input: an array . Preprocess the array to answer queries of the form. Microblog. Search and Web Search. WSDM . Microblog. Papers. TwitterRank. : Finding topic-sensitive influential . Twitterers. . [. Weng. , Lim, Jiang, He]. Everyone's an influencer: Quantifying influence on Twitter . 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 . Batched. Range Median. Extensions. Maintain a. set of. . n. points in. the plane.. In the static. case the point set is fixed, and in the dynamic case points can be inserted and deleted. The objective is to use small space and support efficient range median queries.. Pawe. ł. . Gawrychowski. * and . Pat Nicholson**. *University of Warsaw. **Max-Planck-. Institut. . für. . Informatik. Range . Queries . in Arrays. Input: an array . Preprocess the array to answer queries of the form. 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.