'Similarity joins' presentation slideshows

Similarity Joins for Strings and Sets

Similarity Joins for Strings and Sets. William Cohen. WHIRL approach:. SELECT R.a,S.a,S.b,T.b FROM R,S,T WHERE R.a=S.a and S.b=T.b. SELECT R.a,S.a,S.b,T.b FROM R,S,T WHERE R.a~S.a and S.b~T.b (~ TFIDF-similar). Query Q. WHIRL approach:. Link items as needed by Q.

514 views • 39 slides

Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search

Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search. Jiannan Wang (Tsinghua University) Guoliang Li (Tsinghua University) Jianhua Feng (Tsinghua University). Data Integration. Data Cleaning. Similarity Join. Jaccard :. Threshold: 0.6. Challenge.

591 views • 34 slides

Top-k Set Similarity Joins

352 views • 25 slides

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??????. ?? ???????. Outline. Introduction TF-IDF Similarity. Introduction. Why ? Text mining ? Web mining How ? Classification or Clustering Retrieval. ????????. ??? ????????????????? ?????????? ?????????????????????? ???? ?????. ???????. ??????????????? ?????

388 views • 15 slides