Masakazu Ishihata

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masakazu Ishihata trusts overall

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

  1. Rakesh Agrawal
  2. Jiuyong Li
  3. Niko Speybroeck
  4. R. Rivest
  5. Rayadurgam Srikant
  6. Himabindu Lakkaraju
  7. Satoshi Hara
  8. George L. Nemhauser
  9. Hong Shen
  10. Benjamin Letham

Papers from Masakazu Ishihata's perspective

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

  1. Fast Algorithms for Mining Association Rules
  2. Learning decision lists
  3. Classification and regression trees
  4. Mining association rules between sets of items in large databases
  5. An analysis of approximations for maximizing submodular set functions—I
  6. Towards A Rigorous Science of Interpretable Machine Learning
  7. Interpretable Decision Sets: A Joint Framework for Description and Prediction
  8. A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes
  9. Efficient mining of emerging patterns: discovering trends and differences
  10. Mining quantitative association rules in large relational tables

Their papers