Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 32 Similar Profiles
Industry Engineering & Materials Science
Students Engineering & Materials Science
Big data Engineering & Materials Science
internship Social Sciences
student Social Sciences
experience Social Sciences
Curricula Engineering & Materials Science
Visualization Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2020

Research Output 1984 2017

  • 68 Citations
  • 4 h-Index from Scopus
  • 7 Conference contribution
  • 6 Article
  • 2 Chapter

A framework for describing big data projects

Saltz, J., Shamshurin, I. & Connors, C. Jan 1 2017 Lecture Notes in Business Information Processing. Springer Verlag, Vol. 263, p. 183-195 13 p. (Lecture Notes in Business Information Processing; vol. 263)

Research output: ResearchChapter

Framework
Big data
Methodology
Team work
Team Work

An initial view of a process model for data-driven product concept development

Li, Y., Roy, U. & Saltz, J. S. Mar 1 2017 In : C e Ca. 42, 3, p. 982-987 6 p.

Research output: Research - peer-reviewArticle

Thermostats
Product development
Learning systems
Decision making
Engineers
1 Citations

Big data team process methodologies: A literature review and the identification of key factors for a project's success

Saltz, J. S. & Shamshurin, I. Feb 2 2017 Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Institute of Electrical and Electronics Engineers Inc., p. 2872-2879 8 p. 7840936

Research output: ResearchConference contribution

Big data

Not all software engineers can become good data engineers

Saltz, J. S., Yilmazel, S. & Yilmazel, O. Feb 2 2017 Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Institute of Electrical and Electronics Engineers Inc., p. 2896-2901 6 p. 7840939

Research output: ResearchConference contribution

Engineers
Big data
Industry
science
Project teams
Clustering

Press and Media