Su Chen

Proceedings of the VLDB Endowment · with Lu · 2012

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Su Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Rares Vernica

Papers from Su Chen's perspective

Ordered by how strongly the researchers Su Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Similarity Search in High Dimensions via Hashing
  2. Indexing the Distance: An Efficient Method to KNN Processing (Very Large Data Bases Conference)
  3. Efficient parallel set-similarity joins using MapReduce (SIGMOD Conference)
  4. LOF: identifying density-based local outliers
  5. Index-driven similarity search in metric spaces (Survey Article) (TODS)
  6. iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (TODS)
  7. The X-tree : An Index Structure for High-Dimensional Data (Very Large Data Bases Conference)
  8. A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces
  9. An optimal algorithm for approximate nearest neighbor searching fixed dimensions
  10. BIRCH: an efficient data clustering method for very large databases

Their papers