PPT-Completeness of Queries

over Incomplete Databases Werner Nutt j oint work with Marco Montali Sergey Paramonov Simon Razniewski Ognjen Savkovic Alex Tomasi Fariz Darari. 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]:. 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. . Free University of . Bozen. -Bolzano. . Completeness. . of. . Queries. . over. . Incomplete. Databases. Simon Razniewski. Introduction. Data completeness: . important aspect of . data quality. 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. 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 . Sai . Vallurupalli. What are query logs useful for?. In Social Sciences, Medical & Health, Advertising & Marketing, Law Enforcement etc. . Understanding Search Behavior – Trends and Hot Trends. 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. Conciseness . Consideration . Clarity . Concreteness . Courtesy . Correctness. Seven C’s of Effective Communication. Course Objectives. Explain What makes Communication Ineffective. Describe the Components of Communication Process. 1. NP-Completeness . Proofs. Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. © 2015 Goodrich and Tamassia . NP-Completeness Proofs.  . Qi Li. 1. , . Fenglong. Ma. 1. , Jing Gao. 1. , Lu Su. 1. , Christopher J. Quinn. 2. 1. SUNY Buffalo; . 2. Purdue University . 1. What is Crowdsourcing? . Terminology. Requester. Worker. HITs. Instance. 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.