The second annual workshop on methodologies and tools to improve big data projects was held in conjunction with IEEE Big Data 2016, in Washington DC, USA on Dec 5 – Dec 8, 2016.
In this workshop, we explored two literature reviews, several papers on methodologies and case studies as well as one general purpose tool to help support Big Data projects. The workshop provided a venue to explore new ideas in possible methodologies as well case studies that describe examples of what has, or has not, worked within different Big Data teams.
Specifically, the following papers were presented:
Program Committee for the workshop
Contact / Questions
Please email any questions to jsaltz[at]syr.edu
Please join our group
In this workshop, we explored two literature reviews, several papers on methodologies and case studies as well as one general purpose tool to help support Big Data projects. The workshop provided a venue to explore new ideas in possible methodologies as well case studies that describe examples of what has, or has not, worked within different Big Data teams.
Specifically, the following papers were presented:
- Software Engineering for Big Data Projects: Domains, Methodologies and Gaps (paper, slides)
- Big Data Team Process Methodologies: A Literature Review and the Identification of Key Factors for a Project’s Success (paper, slides)
- Bad Big Data Science (paper, slides)
- Not All Software Engineers Can Become Good Data Engineers (paper, slides)
- Invited talk: Mapping the old data mining process model CRISP-DM into the NIST big data reference architecture (slides)
- Progression Analysis of Signals: Extending CRISP-DM to Stream Analytics (paper, slides)
- Evaluation-Driven Research in Data Science: Leveraging Cross-Field Methodologies (paper, slides)
- A Hacking Toolset for Big Tabular Files (paper, slides)
Program Committee for the workshop
- Jeffrey Saltz, Syracuse University (Chair)
- Andy Koronios, University of South Australia
- Daniel Asamoah, Wright State University
- Kirk Kee, Chapman University
- Bintong Chen, University of Delaware
- Ivan Shamshurin, Syracuse University
Contact / Questions
Please email any questions to jsaltz[at]syr.edu
Please join our group