PPT-Query-Based Data Pricing

Author : tatiana-dople | Published Date : 2016-03-20

Paraschos Koutris Prasang Upadhyaya Magdalena Balazinska Bill Howe Dan Suciu University of Washington PODS 2012 Motivation Data is increasingly sold and bought

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Query-Based Data Pricing: Transcript


Paraschos Koutris Prasang Upadhyaya Magdalena Balazinska Bill Howe Dan Suciu University of Washington PODS 2012 Motivation Data is increasingly sold and bought on the web. a new class of data management applications. Don Carney, . Uğur. . Çetintemel. , Mitch . Cherniack. , Christian Convey, . Sangdon. Lee, Greg . Seidman. , Michael . Stonebraker. , . Nesime. . Tatbul. : . Data Harvesting Detection on Hidden Databases. Shiyuan. Wang, . Divyakant. . Agrawal. , . Amr. El . Abbadi. University of California, Santa Barbara. CCSW 2010. DSL. Data Security Concern: Back-End Databases of Web-based Applications. Speaker: . Rui-Rui. Li. Supervisor: Prof. Ben Kao. 1. Outline. Introduction. Motivation. Methods. -using click-through data. -using session data. -context aware query suggestion. -other methods. Conclusion. problems and directions. Piotr. . Mardziel. , Adam Bender, . Michael Hicks. , . Dave Levin, . Mudhakar. . Srivatsa. *, Jonathan Katz. * IBM Research, T.J. Watson Lab, USA. University of Maryland, College Park, USA. CSE 8330. Instructor: . Dr.Margaret. H. Dunham. Presenter: . Akshaya. . Aradhya. Introduction. Query optimization in XML databases. Query optimization in Parallel databases. Comparison. Conclusion and Future work. – Adult . Hotel pricing is based on an average cost of $100.00 USD per night for 6 nights. (divided by quad occupancy). *The pricing generated for gas and parking projections are based on the expenses of a Dodge Grand Caravan split between the 7 available seats.. COMP3211 . Advanced Databases. Dr. Nicholas Gibbins – . nmg@ecs.soton.ac.uk. 2014-2015. From Databases to Data Streams. 2. Traditional DBMS makes several assumptions:. persistent data storage. relatively static records. 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 . Anuj Tyagi . May 19, 2017. Agenda. Crop Insurance: An Introduction. Loss Reserving and key issues . Product designing and key Issues. Pricing and Loss reserving: way forward. Crop Insurance. Indian Agricultural landscape :Biggest employment sector for the country. QueryMarket. Paraschos. . Koutris. Prasang. . Upadhyaya. Magdalena . Balazinska. Bill Howe. Dan . Suciu. University of Washington. SIGMOD 2013. Motivation. Data is increasingly . sold . and . bought . Why do AT&T and Verizon Wireless charge me $10 a GB? . Our Cell Phone Bill. Data charges . make up a significant part of our cell phone bills . The . data plans . in our . cellular. . contracts. PART . I: visual data . processing. PART . II. . Audio Search. Liangliang Cao, . Xiaodan. . Zhuang. University of Illinois at Urbana-Champaign. What is Star Challenge?. Competition to Develop World’s Next-Generation Multimedia Search Technology. How will your business make money?. Why is pricing an important decision for startups?. What is the link between prices and revenue?. Every firm needs a revenue strategy.. Profits = Revenue – Costs. QueryMarket. Paraschos. . Koutris. Prasang. . Upadhyaya. Magdalena . Balazinska. Bill Howe. Dan . Suciu. University of Washington. SIGMOD 2013. Motivation. Data is increasingly . sold . and . bought .

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