Paul Andrew Watters

Journal of Big Data · 2008–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Paul Andrew Watters trusts overall

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

  1. Rakesh Agrawal

Who trusts Paul Andrew Watters overall

  1. Yanli Sun
  2. Georg I. Schlünz
  3. John K. Maingi
  4. Xin Xia

Papers from Paul Andrew Watters's perspective

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

  1. Programs for Machine Learning
  2. C4.5: Programs for Machine Learning
  3. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
  4. Some methods for classification and analysis of multivariate observations
  5. Experiments with a New Boosting Algorithm
  6. Mining frequent patterns without candidate generation
  7. Mining association rules between sets of items in large databases
  8. Data Mining: Concepts and Techniques
  9. Singular value decomposition and principal component analysis
  10. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)

Their papers