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Soft Joins with TFIDF: Why and What
Soft Joins with TFIDF: Why and What
by tatyana-admore
1. Sim. Joins on Product Descriptions. Surface s...
Workflows and Abstractions for Map-Reduce
Workflows and Abstractions for Map-Reduce
by trish-goza
1. Recap. Map-reduce ✔️. Algorithms with mult...
In the once upon a time days of the First Age of Magic, the
In the once upon a time days of the First Age of Magic, the
by tatyana-admore
The first hint Mr. Slippery had that his own True...
Can We Beat the Prefix Filtering?
Can We Beat the Prefix Filtering?
by pamella-moone
An Adaptive Framework for Similarity Join and Sea...
Announcements Working AWS codes
Announcements Working AWS codes
by DynamicDiva
are out. 605 waitlist ~= 25, slots ~= 15. 10-805 p...
A Primitive Operator for Similarity Joins in Data Cleaning Surajit Chaudhuri Venkatesh Ganti Raghav Kaushik Microsoft Research surajitcvgantiskaushi microsoft
A Primitive Operator for Similarity Joins in Data Cleaning Surajit Chaudhuri Venkatesh Ganti Raghav Kaushik Microsoft Research surajitcvgantiskaushi microsoft
by giovanna-bartolotta
com Abstract Data cleaning based on similarities i...
Similarity Joins
Similarity Joins
by natalia-silvester
for Strings and Sets. William Cohen. SELECT R.a,S...
In the once upon a time days of the First Age of Magic, the
In the once upon a time days of the First Age of Magic, the
by liane-varnes
The first hint Mr. Slippery had that his own True...