Understanding the Customers Portfolio towards Smart watch and Intension to Recommend Ambient Technology
Gladys Gnana Kiruba B1, D. P. Acharjya2
1Gladys Gnana Kiruba B, School of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India.
2D. P. Acharjya*, School of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12441-12449 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9067118419/2019©BEIESP | DOI: 10.35940/ijrte.D9067.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Smart watch is the new generation watches which provide new assistants in the ambient environment. The new hardware technology of smart watch adds up with sensors and internet affords a high human computer interaction all through 24×7 of a person. In order to understand the satisfaction of smart watch users, it is highly necessary to master the technologies behind it. This paper uses the rough set rule generation technique to analyze the customer satisfaction by adopting the various demographics and key features of smart watch there by understanding the importance of ambient technology.
Keywords: Ambient, Rough set, Rule Generation, Smart watch.
Scope of the Article: Next Generation Internet & Web Architectures.