Miki Nakagawa

Information Systems · 2001–2004

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Miki Nakagawa trusts overall

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

  1. Rakesh Agrawal
  2. Rayadurgam Srikant

Who trusts Miki Nakagawa overall

  1. Bamshad Mobasher

Papers from Miki Nakagawa's perspective

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

  1. Fast Algorithms for Mining Association Rules
  2. GroupLens: applying collaborative filtering to Usenet news
  3. Application of Dimensionality Reduction in Recommender System - A Case Study
  4. A sequential algorithm for training text classifiers
  5. An algorithmic framework for performing collaborative filtering
  6. Principles of Data Mining
  7. A Tree Projection Algorithm for Generation of Frequent Item Sets (J. Parallel Distributed Comput.)
  8. Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
  9. Automatic personalization based on Web usage mining
  10. Discovery of Web Robot Sessions Based on their Navigational Patterns (Data mining and knowledge discovery)

Their papers