Discovering the Right Questions in Big Data: The Colored de Bruijn Graph Approach
Document Type
Article
Publication Date
2017
Abstract
This article touches upon a crucial challenge in the big data space: identifying the right questions for it. As data continues to explode, not only are businesses struggling to find answers to business questions, they often cannot even determine what questions to ask of their data. The authors discuss a practical experiment on classifying genetic data using a colored de Bruijn graph and show the application of this technique in the business world.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Cutter Business Technology Journal, v. 30, no. 10-11, p. 29-34
Scholar Commons Citation
Unhelkar, Bhuvan and Lyman, Cole, "Discovering the Right Questions in Big Data: The Colored de Bruijn Graph Approach" (2017). School of Information Systems and Management Sarasota Manatee Campus Faculty Publications. 106.
https://digitalcommons.usf.edu/qmb_facpub_sm/106
