Embedding intelligence within data points for a machine learning framework : "Hex-Elementization"

Bhuvan Unhelkar; Girish Nair

doi:10.1007/978-3-030-29516-5_47

Embedding intelligence within data points for a machine learning framework : "Hex-Elementization"

Bhuvan Unhelkar, Girish Nair

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

![CDATA[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.]]

Original language	English
Title of host publication	Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), Volume 1, 5-6 September 2019, London, United Kingdom
Publisher	Springer
Pages	612-628
Number of pages	17
ISBN (Print)	9783030295158
DOIs	https://doi.org/10.1007/978-3-030-29516-5_47
Publication status	Published - 2020
Event	SAI Intelligent Systems Conference - Duration: 5 Sept 2019 → …

Publication series

Name
ISSN (Print)	2194-5357

Conference

Conference	SAI Intelligent Systems Conference
Period	5/09/19 → …

Keywords

artificial intelligence
big data
machine learning

Access to Document

10.1007/978-3-030-29516-5_47

Cite this

@inproceedings{a7e3f9309e6b4bed89194065a8279712,

title = "Embedding intelligence within data points for a machine learning framework : {"}Hex-Elementization{"}",

abstract = "![CDATA[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.]]",

keywords = "artificial intelligence, big data, machine learning",

author = "Bhuvan Unhelkar and Girish Nair",

year = "2020",

doi = "10.1007/978-3-030-29516-5_47",

language = "English",

isbn = "9783030295158",

publisher = "Springer",

pages = "612--628",

booktitle = "Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), Volume 1, 5-6 September 2019, London, United Kingdom",

note = "SAI Intelligent Systems Conference ; Conference date: 05-09-2019",

}

Unhelkar, B & Nair, G 2020, Embedding intelligence within data points for a machine learning framework : "Hex-Elementization". in Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), Volume 1, 5-6 September 2019, London, United Kingdom. Springer, pp. 612-628, SAI Intelligent Systems Conference, 5/09/19. https://doi.org/10.1007/978-3-030-29516-5_47

Embedding intelligence within data points for a machine learning framework : "Hex-Elementization". / Unhelkar, Bhuvan; Nair, Girish.
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), Volume 1, 5-6 September 2019, London, United Kingdom. Springer, 2020. p. 612-628.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Embedding intelligence within data points for a machine learning framework : "Hex-Elementization"

AU - Unhelkar, Bhuvan

AU - Nair, Girish

PY - 2020

Y1 - 2020

N2 - ![CDATA[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.]]

AB - ![CDATA[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.]]

KW - artificial intelligence

KW - big data

KW - machine learning

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:52725

U2 - 10.1007/978-3-030-29516-5_47

DO - 10.1007/978-3-030-29516-5_47

M3 - Conference Paper

SN - 9783030295158

SP - 612

EP - 628

BT - Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), Volume 1, 5-6 September 2019, London, United Kingdom

PB - Springer

T2 - SAI Intelligent Systems Conference

Y2 - 5 September 2019

ER -

Embedding intelligence within data points for a machine learning framework : "Hex-Elementization"

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Keywords

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