PPT-Rule-based Cross-matching of Very Large Catalogs
Author : briana-ranney | Published Date : 2016-05-16
Patrick Ogle and the NED Team IPAC California Institute of Technology NASA Extragalactic Database NED A fusion of multiwavelength extragalactic data from journal
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Rule-based Cross-matching of Very Large Catalogs: Transcript
Patrick Ogle and the NED Team IPAC California Institute of Technology NASA Extragalactic Database NED A fusion of multiwavelength extragalactic data from journal articles and large catalogs. If <condition> then <consequence>. Rules to solve problems. What is forward chaining?. What is backward chaining?. Expert systems. RB Deduction Systems. Rule looks like. If . Cond1. Cond2. -. based Clustering. Mohammad. . Rezaei. , Pasi Fränti. rezaei@cs.uef.fi. Speech. and . Image. . Processing. . Unit. University of Eastern Finland. . August 2014. Keyword-Based Clustering. An object such as a text document, website, movie and service can be described by a set of keywords. Jessica Comfort. Business . Systems . Analyst. Goals for today’s presentation. Review Banner forms used in the set up of a tape load. Review Banner forms used in the matching process. Match on Null . Decision Tree. Advantages. Fast and easy to implement, Simple to understand. Modular, Re-usable. Can be learned . . can be constructed dynamically from observations and actions in game, we will discuss this further in a future topic called ‘Learning’). Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Acceleration Data . Pramod. . Vemulapalli. . Outline . 50 % Tutorial and 50 % Research Results . Basics . Literature Survey . Acceleration Data . Preliminary Results . Conclusions . What is A Time-Series Subsequence ?. Olivier . Duchenne. , Francis Bach, . Inso. . Kweon. , Jean Ponce. École. . Normale. . Supérieure. , INRIA, KAIST. Team Willow. Extension of [. Leordeanu. &. Hebert]. to the case of . hypergraph.. Mailers’ Technical Advisory Committee (MTAC). April 25, 2017. 1. Digital – Challenges and Opportunities. 2. As . D. igital. . matures as a . marketing channel, challenges have emerged and are becoming more apparent to marketers. . SRM . Punch-out Catalogs. What Are “Punch-Out Catalogs”. “Punch-out” catalogs are customized shopping environments on contract suppliers’ websites and accessed via . my. UK. They usually relate to the University’s highest volume suppliers and contain available items along with customized University pricing. Punch-out environments are virtual in nature and use checkout cart systems similar to common internet shopping websites.. Decision Tree. Advantages. Fast and easy to implement, Simple to understand. Modular, Re-usable. Can be learned . . can be constructed dynamically from observations and actions in game, we will discuss this further in a future topic called ‘Learning’). Bo Zhang. Graduated from AASP consortium of OU in 2014. currently with The university of Alabama. 1. - 20. Outline. Motivation. Basis pursuit matching pursuit. Dipole-based matching pursuit. Synthetic test. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. NationalLibraryofCanadaBibliothèquenationaleduCanada NationalLibraryofCanadaMusicDivision THEJACQUESHÉTUFONDSNumericalListStéphaneJeanOttawa,1999 CanadianCataloguinginPublicationDataNationalLibrary Seng Chan You. What should OHDSI studies look like?. 2. A study should be like a pipeline. A fully automated process from database to paper. ‘Performing a study’ = building the pipeline. Database.
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