'Similarity join' presentation slideshows

Improving Similarity Join Algorithms using Vertical Clustering Techniques

Improving Similarity Join Algorithms using Vertical Clustering Techniques. Lisa Tan Department of Computer Science Computing & Information Technology Wayne State University Sept. 15, 2009. Reason using Similarity Join. Correlate data from different data sources (e.g., data integration)

546 views • 45 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

On Link-based Similarity Join

VLDB 2011. Presenter: Reynold Cheng Department of Computer Science The University of Hong Kong ckcheng@cs.hku.hk. On Link-based Similarity Join. A joint work with: Liwen Sun, Xiang Li, David Cheung (University of Hong Kong) Jiawei Han (University of Illinois Urbana Champaign).

884 views • 32 slides

On Link-based Similarity Join

VLDB 2011. Presenter: Reynold Cheng Department of Computer Science The University of Hong Kong ckcheng@cs.hku.hk. On Link-based Similarity Join. A joint work with: Liwen Sun, Xiang Li, David Cheung (University of Hong Kong) Jiawei Han (University of Illinois Urbana Champaign).

475 views • 32 slides

On Link-based Similarity Join

VLDB 2011. Presenter: Reynold Cheng Department of Computer Science The University of Hong Kong ckcheng@cs.hku.hk. On Link-based Similarity Join. A joint work with: Liwen Sun, Xiang Li, David Cheung (University of Hong Kong) Jiawei Han (University of Illinois Urbana Champaign).

375 views • 32 slides

On Link-based Similarity Join

VLDB 2011. Presenter: Reynold Cheng Department of Computer Science The University of Hong Kong ckcheng@cs.hku.hk. On Link-based Similarity Join. A joint work with: Liwen Sun, Xiang Li, David Cheung (University of Hong Kong) Jiawei Han (University of Illinois Urbana Champaign).

329 views • 32 slides

Efficient Parallel Set-Similarity Joins Using Hadoop

480 views • 30 slides

Map-Reduce for large scale similarity computation

342 views • 21 slides

308 views • 21 slides

Scalability, from a database systems perspective

256 views • 18 slides

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388 views • 15 slides