Fuzzy Based Clustering of Consumers' Big Data in Industrial Applications

Akash Sharma, Sunil K. Singh, Eshita Badwal, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Kwok Tai Chui, Domenico Santaniello

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Citations (Scopus)

Abstract

As a result of increased miniaturization and sophistication of technology in the field of consumer electronics, the overall demand for these devices has increased. Furthermore, as the world becomes digital, a growing number of individuals save, manage, and share their lives online. Enormous volumes of data from Consumer Electronics constitutes Big Data. To gain insights and valuable information, Clustering of such Big data becomes important in the present scenario. Using innovative ways in clustering and extracting valuable information from this rapidly increasing data in order to provide more personalisation features to users is a crucial step ahead. This paper explores the traditional as well as newer and innovative techniques that have been employed for clustering of big data as well as analytics and their applications to consumer electronics. Fuzzy clustering techniques based on fuzzy membership in which data elements can belong to more than one cluster at a time due to which this technique has an upper hand over conventional clustering algorithms are thus examined in this work. Additionally, this paper presents the drawbacks of fuzzy clustering algorithms and their solutions using Fuzzy-Neuro and Ensemble Clustering based techniques. All of this is being done to advance consumer data analytics via innovation to provide users a better experience.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Consumer Electronics, ICCE 2023
ISBN (Electronic)9781665491303
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States
Duration: 6 Jan 20238 Jan 2023

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2023-January
ISSN (Print)0747-668X

Conference

Conference2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Country/TerritoryUnited States
CityLas Vegas
Period6/01/238/01/23

Keywords

  • Clustering
  • Clustering Ensemble
  • Consumer electronics
  • Fuzzy
  • Neuro-fuzzy

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