Projects per year
Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 26 Similar Profiles
Industry
Engineering & Materials Science
Students
Engineering & Materials Science
Big data
Engineering & Materials Science
program
Social Sciences
internship
Social Sciences
student
Social Sciences
multinational corporation
Social Sciences
Visualization
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2016 2020
- 2 Active
Improving the Structure of Online Breakout Activities Using Pair Programming Technique
1/1/17 → 12/31/17
Project: Research project
Entrepreneurial Ecosystem Connectivity Index (EECI)
Ewing Marion Kauffman Foundation
11/1/16 → 1/31/20
Project: Research project
Research Output 1984 2017
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: Chapter in Book/Report/Conference proceeding › Chapter
Big data
Methodology
Team work
Likely
Attribute
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: Contribution to journal › Article
Anthralin
Acyclic Acids
Dust
Learning systems
Squamous Cell Carcinoma
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. 7840936Research output: Chapter in Book/Report/Conference proceeding › Conference 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. 7840939Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Engineers
Big data
Industry
Blended learning at the boundary: Designing a new internship
Heckman, R., Østerlund, C. S. & Saltz, J. Jun 1 2015 In : Journal of Asynchronous Learning Network. 19, 3Research output: Contribution to journal › Article
Blended Learning
internship
Students
Industry
learning
Press / Media
Syracuse University Launches DataScience@Syracuse, a New Online Graduate Program in Applied Data Science
4/27/17
85 items of media coverage
Press / Media: Expert Comment
Workshop on methodologies to improve data projects (MIDP 2015)
7/5/15
1 item of media coverage
Press / Media: Expert Comment