Wen Jin

Artificial Intelligence · 2001–2006

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Wen Jin trusts overall

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

  1. Flip Korn
  2. Hans-Peter Kriegel
  3. Tian Zhang
  4. Martin Ester
  5. Spiros E. Papadimitriou
  6. Rajeev Rastogi
  7. Jörg Sander
  8. S. Muthu Muthukrishnan
  9. Raghu Ramakrishnan
  10. Jiawei Han

Who trusts Wen Jin overall

  1. Charu C. Aggarwal
  2. Hans-Peter Kriegel
  3. Arthur Zimek
  4. Markus Goldstein
  5. Ricardo José Gabrielli Barreto Campello
  6. Erich Schubert
  7. Hongzhi Wang
  8. Mennatallah Amer
  9. Spiros E. Papadimitriou
  10. Peer Kröger

Papers from Wen Jin's perspective

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

  1. LOF: identifying density-based local outliers
  2. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  3. Mining top-n local outliers in large databases (Knowledge Discovery and Data Mining)
  4. Enhancing Effectiveness of Outlier Detections for Low Density Patterns (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  5. Influence sets based on reverse nearest neighbor queries (ACM SIGMOD Conference)
  6. LOCI: fast outlier detection using the local correlation integral (Proceedings / International Conference on Data Engineering)
  7. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  8. Mining high-speed data streams
  9. Multidimensional binary search trees used for associative searching
  10. A Framework for Clustering Evolving Data Streams

Their papers