Rajat Aggarwal

1997

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 Rajat Aggarwal trusts overall

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

  1. George Karypis

Who trusts Rajat Aggarwal overall

  1. Alexander Strehl
  2. Joydeep Ghosh
  3. Pavel Berkhin
  4. Stan Salvador
  5. Omer Sagi
  6. José Valente de Oliveira
  7. Brad T. Aagaard
  8. Xingcheng Ran

Papers from Rajat Aggarwal's perspective

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

  1. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
  2. STATISTICAL METHODS
  3. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
  4. Concept Decompositions for Large Sparse Text Data Using Clustering (Machine-mediated learning)
  5. Robust Classification for Imprecise Environments
  6. Algorithms for association rule mining — a general survey and comparison
  7. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Pregel: a system for large-scale graph processing (SIGMOD Conference)
  10. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval

Their papers