PPT-Using Query Patterns

to Learn the Durations of Events Andrey Gusev joint work with Nate Chambers Pranav Khaitan Divye Khilnani Steven Bethard Dan Jurafsky Examples of Event Durations. 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. Murali. Mani, . Mohamad. . Alawa. , . Arunlal. . Kalyanasundaram. University of Michigan, Flint. Presented at IDEAS 2011.. Provenance Metadata. Data about origins of data. Applications:. Check whether data item is valid – in health records. Outlier Detection. Ayushi Dalmia. *. , Manish Gupta. *+. , Vasudeva Varma. *. 1. IIIT Hyderabad, India* Microsoft, India. +. Introduction. A. B. B. B. B. A. B. B. B. A. C. C. C. X. 1. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. 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.. Michael . Armbrust. , Kristal Curtis, Tim . Kraska. Armando Fox, Michael J. Franklin, David A. Patterson. AMP Lab, EECS, UC Berkeley. Introduction. Large-scale websites are increasingly moving from relational databases to distributed key-value stores.. Matt Masson. Tessa Palmer. DBI-B410. Agenda. Overview of Power . Query. Why you would use the Power Query Formula Language (“M. ”). Introduction to the . Language. Types, values, and . functions. Davide Mottin, University of Trento. Francesco . Bonchi. , Yahoo Labs - Francesco . Gullo. , Yahoo Labs. Issues. with Pattern . S. earch. O. OH. O. S. Query. 510 . matches. T. oo. . many. . matches. Stefan . Riezler. Yi Liu. Google. 2010 Association for Computational Linguistics. Introduction. Create a system that learns to generate query rewrite from a large amount of user query logs.. Use query expansion in Web search for evaluation of rewritten queries.. Query Optimization Process. (simplified a bit). Parse the SQL query into a logical tree:. identify distinct blocks (corresponding to nested sub-queries or views). . Query rewrite phase:. apply . algebraic transformations. Steve Thompson, ConfigMgr MVP. Configuration Manager . Advisor, Dell Services. UD-B407. How to solve common questions with queries. Understand the query process. Identify . performance . issues. Statistics . of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . Authors: Kyu . Han . Koh et. al.. Presented . by : . Ali Anwar. ABOUT ME. B.Sc. Electrical Engineering, University of Engineering and Technology Lahore, Pakistan. M.Sc. Computer Engineering. , University of Engineering and Technology Lahore, . Course Goal. The goal of this course is to teach end users of ctcLink PeopleSoft to find and retrieve Queries and Reports in the most effective manner.. Course Learning Objectives. At the end of this course users will:.