Kate M. Bowers

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kate M. Bowers trusts overall

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

  1. Lotfi A. Zadeh

Papers from Kate M. Bowers's perspective

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

  1. Big data: The next frontier for innovation, competition, and productivity
  2. A survey of machine learning for big data processing
  3. Book Review: Computational Methods of Feature Selection (The IEEE intelligent informatics bulletin)
  4. Deep learning applications and challenges in big data analytics
  5. Data Mining: Concepts and Techniques
  6. Big data: the management revolution. (Harvard Business Review)
  7. Gene Selection for Cancer Classification using Support Vector Machines
  8. Beyond the hype: Big data concepts, methods, and analytics (International Journal of Information Management)
  9. A review of instance selection methods
  10. Toward a generalized theory of uncertainty (GTU)--an outline (Information Sciences)

Their papers