PPT-Entity Matching : How Similar Is Similar?

Jiannan Wang Tsinghua China Guoliang Li Tsinghua China Jeffrey Xu Yu CUHK HK China Jianhua Feng Tsinghua China Entity Matching 2011830 Find records referring to the same entity. Individual Matching Controls are matched to cases on one or more attributes (i.e. age, gender, smoking status, etc). Each case/control pair then has identical values on the matching factors. Requi HEP Development. HEP Development. Who is HEP?. With more than 5,000 customers and 15 years experience, HEP has developed proven tools to help you identify and promote match opportunities, gain access to the highest quality prospect development information and enhance your data. . in Non-Bipartite Graphs. Alicia . Thilani. Singham Goodwin. 18.304 • 3/22/2013. Our Goal. Make. an . algorithm. to . find. the . largest. . cardinality. . matching. (. most. sets of . partners. -. 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 . Sam . Marden. s.h.marden@lse.ac.uk. Introduction. Describe the intuition behind . matching estimators. . Be concise. .. Suppose you have a sample of 100,000 prospective voters, with data on age, gender, party affiliation, county of residence, and whether or not an individual voted in the last elections. Ten thousand of these individuals were reached by telephone and heard a short message from a non-partisan agency regarding the importance of voting. The aim of the message was to improve voter turn out. Explain in no more than three sentences how one would use a matching estimator to estimate the effect of the calls. Note, you do not need to provide technical details (that comes next week), but a clear and intuitive explanation of how you would construct the matching estimator.. A Practical Demonstration Looking at Results from the Promise Pathways Initiative at Long Beach City College. Andrew Fuenmayor, Research Analyst. John Hetts, . Director of Institutional Research. Long Beach City College . NRS & RSS Edinburgh. , . October. 2012. AGENDA. . Context: 2011 Census quality assurance and the role of administrative data. Data matching challenges and solutions. Data to be matched. Matching methods and interpretation . Philip A. Bernstein Microsoft Corp.. Jayant . Madhavan. Google. Erhard Rahm Univ. of Leipzig. Copyright © 2011 Microsoft Corp.. The . problem of generating . correspondences between . Stratification,. Regression. Heejung Bang, PhD. UC-Davis. 1. Rimm. & . Bortin. (1978). Clinical trials as religion. 2. Motivating episode. A surgeon came to me – his aim/hypothesis is clear. Excel dataset has small N & few variables.. MOTIVES OF IMPERIALISM. (E.M.P.I.R.E). Image Matching Activity. For the following images, decide which imperialism “motivation” it represents (ECONOMY, MILITARY, POLITICS, IDEOLOGIES, RELIGION, or EXPLORATORY). Sahil. . Singla. . (Carnegie Mellon University). Joint work with . Euiwoong. Lee. 26. th. June, 2017. Two-Stage . matching problem . Graph Edges Appears in Two Batches/ Stages. . Appears in Stage 1. Olivier . Duchenne. , Francis Bach, . Inso. . Kweon. , Jean Ponce. École. . Normale. . Supérieure. , INRIA, KAIST. Team Willow. Extension of [. Leordeanu. &. Hebert]. to the case of . hypergraph.. Statement of the problem. Two sides of the market to be . matched.. Participants . on . both sides care about to whom they are matched.. M. oney can’t . be used to . determine . the assignment. .. Examples .