PPT-Approximate Lineage for Probabilistic Databases

Christopher Ré and Dan Suciu University of Washington Approximate Lineage in One Slide Lineage Provenance In QP used to track correlations Explain queryview results VLDBs have lots of lineage. University of Washington. Adrian Sampson, . Hadi. Esmaelizadeh,. 1. Michael . Ringenburg. , . Reneé. St. Amant,. 2. . Luis . Ceze. , . Dan Grossman. , Mark . Oskin. , Karin Strauss,. 3. and Doug Burger. SUM 2013. Batya. . Kenig. Avigdor. Gal. Ofer. . Strichman. Probabilistic Databases for managing uncertain data. A variety of data sources generate incomplete, noisy and uncertain data (sensor networks, information extraction, data integration…). . Bhargav Kanagal & Amol Deshpande. University of Maryland. Introduction. Correlated Probabilistic data generated in many scenarios. Data Integration [AFM06]: Conflicting information best captured using “mutual exclusivity”. Asma. . Souihli. Oct. . 24. th. . 2012. Network and Computer Science . Department. XML. for semi-structured . data (. tree-like. structure). 2. Probabilistic Data - . PrXML. Jung-. Hee. Yun and Chin-Wan Chung, 2012.. from. IE Models . Olga . Mykytiuk. , 21 July 2011. M.Theobald. Outline . Motivation for probabilistic databases. Model for automatic extraction. Different representation . One-row model. Multi-row model . for:. Change Of Blood Lineage. How The Blessing Restores the Fall. Download this . Powerpoint. . from the Internet at URL:. www.TheMarriageLibrary.com/Articles/ChangeOfBlood.pptx. “The Lord . saw how great man’s wickedness on the earth had become and that every inclination of the . . – What Next?. Martin Theobald. University of Antwerp. Joint work with . Maximilian Dylla, Sairam Gurajada, Angelika . Kimmig. , Andre . Melo. , Iris Miliaraki, . Luc de . Raedt. , Mauro . Sozio. . COMPUTATIONAL. . NANOELECTRONICS. W7. : . Approximate. Computing. & . Bayesian. Networks. , . 31. /1. 0. /201. 6. FALL 201. 6. Mustafa. . Altun. Electronics & Communication Engineering. Indranil Gupta. Associate Professor. Dept. of Computer Science, University of Illinois at Urbana-Champaign. Joint work with . Muntasir. . Raihan. . Rahman. , Lewis Tseng, Son Nguyen, . Nitin. . Vaidya. lineaging. ). Acetree. QC . tools: . Edit->Quality Control->. Deaths/Adjacencies . ‘Deaths’ lists all track terminations. Check all deaths have expected morphology. ‘Jumps’ lists all links that make a large jump. With tracking off traverse . A . new horizon for preventive vaccines against tuberculosis . Madrid 7. th. May 2014. Mycobacterium tuberculosis. Evolution of Functional Diversity. 844 badgers . caught . and . sampled. disease detection by serology . Computation Circuits. Wei-Ting Jonas Chan. 1. , Andrew B. Kahng. 1. , . Seokhyeong Kang. 1. , . Rakesh. Kumar. 2. , and John Sartori. 3. 1. VLSI . CAD LABORATORY, . UC San Diego. 2. PASSAT GROUP, Univ. of Illinois. Bhargav Kanagal. Amol Deshpande. University of Maryland. Motivation: Information Extraction/Integration. [Gupta&Sarawagi’2006, . Jayram et al. 2006. ]. Structured entities extracted from text in the internet. Part II: Advanced Topics. Magdalena . Balazinska. ,. Christopher Re. and Dan . Suciu. University of Washington. Recap of motivation. Data are . uncertain. in many applications. Business: . Dedup. , Info. Extraction.