Embedding Intelligence Within Data Points for a Machine Learning Framework: “Hex-Elementization”
Document Type
Conference Proceeding
Publication Date
1-1-2020
Keywords
Big data, Data intelligence, Hex-Elementization, Machine learning platform
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-030-29516-5_47
Abstract
This paper presents a unique concept of Hex-Elementization (Hex-E) that is applied to data points in order to enable increasingly sophisticated utilization of big data. The premise of this paper is to define data points through 6 attributes which “learn” to connect automatically with other data points through Machine Learning (ML) resulting in suites of analytics. These analytics can grow in multiple directions depending on the needs of the business and the intelligence encoded within the data points through the Hex-E framework. This paper is part of ongoing research that is following a mixed-methods approach to propose, develop and validate Hex-E.
Citation / Publisher Attribution
Embedding Intelligence Within Data Points for a Machine Learning Framework: “Hex-Elementization”, in Y. Bi, R. Bhatia & S. Kapoor (Eds.), Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, v. 1037, Springer, p. 612-628
Scholar Commons Citation
Unhelkar, Bhuvan and Nair, Girish, "Embedding Intelligence Within Data Points for a Machine Learning Framework: “Hex-Elementization”" (2020). School of Information Systems and Management Sarasota Manatee Campus Faculty Publications. 2.
https://digitalcommons.usf.edu/qmb_facpub_sm/2
