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data integration using similarity joins and a word-based information representation language william w. cohen at&t labs—research, shannon laboratory the integration…
ti030000288pdata integration using similarity joins and a word-based information representation language william w. cohen at&t labs—research, shannon laboratory
session 22: similarity joins 担当: 白川(大阪大学) 【icde2014勉強会】 まずはじめに… similarity joinとはなんぞや? 2つのデータ集合の中から類似するデータペアを全部見つけるタスク…
univ. of new south wales, austrailia icde ’09 based on chuan xiao’s presentation slides in icde ’09 outline introduction experiments 2 motivation sydney
efficient exact set-similarity joins arvind arasu venkatesh ganti raghav kaushik dmx group, microsoft research set-similarity joins data cleaning set-similarity joins data…
machine learning from big datasets in the once upon a time days of the first age of magic, the prudent sorcerer regarded his own true name as his most valued possession but…
machine learning from big datasets in the once upon a time days of the first age of magic, the prudent sorcerer regarded his own true name as his most valued possession but…
machine learning from big datasets in the once upon a time days of the first age of magic, the prudent sorcerer regarded his own true name as his most valued possession but…
machine learning from big datasets in the once upon a time days of the first age of magic, the prudent sorcerer regarded his own true name as his most valued possession but…
machine learning from big datasets similarity joins for strings and sets william cohen select r.a,s.a,s.b,t.b from r,s,t where r.a=s.a and s.b=t.b whirl approach: 2 link…
1. efficient parallel set-similarityjoins using mapreduce tilani gunawardena 2. content• introduction• preliminaries• self-join case• r-s join case• handling insufficient…
efficient parallel set-similarity joins using hadoop chen li joint work with michael carey and rares vernica * motivation: data cleaning star title year genre keanu reeves…
auto-fuzzyjoin: auto-program fuzzy similarity joins without labeled examplespeng li ∗ fuzzy similarity join is an important database operator widely used in practice.
efficient parallel set-similarity joins using mapreduce rares vernica department of computer science university of california, irvine [email protected] michael j. carey department…
a primitive operator for similarity joins in data cleaning surajit chaudhuri venkatesh ganti raghav kaushik microsoft research {surajitc,vganti,skaushi}@microsoft.com abstract…
an experimental survey of mapreduce-based similarity joins, p. 1, 2016. © springer-verlag berlin heidelberg 2016 an experimental survey of mapreduce-based similarity joins*…
slide 1 similarity joins for strings and sets william cohen slide 2 select r.a,s.a,s.b,t.b from r,s,t where r.a=s.a and s.b=t.b whirl approach: slide 3 link items as needed…
school of computer science and engineering efficient graph similarity joins with edit distance constraints xiang zhao† § chuan xiao† xuemin lin‡ † wei wang† †…
ed-join: an efficient algorithm for similarity joins with edit distance constraints chuan xiao wei wang xuemin lin school of computer science and engineering the university…
fast and scalable distributed set similarity joins for big data analytics chuitian rong†], chunbin lin†, yasin n. silva], jianguo wang†, wei lu[§,