Study of iPhone's Big Data, Market Share, Usage and Their Relationships
Pages 7 - 10
Abstract
In this paper, we will discuss different brands of iPhone of different market share, the relationships between iPhone's Big Data, market share [8] and their usage. We will have a look at their market share statistics, difference and comparison in graphs and tables mainly in HuaWei, Apple and Samsung [9]. Huawei is the first time to go ahead of Apple. We will also find that more and more people use iPhone nowadays because of its convenience. iPhone like our friends and assistant, we can use it anytime, anywhere and for many purposes. Research will be focused on how the iPhone changed the people's traditional behaviors such as sending emails, taking pictures, playing games, accessing the internet...etc, and inspire how the future iPhone can be developed by producers and used by people. Results and analysis of this study would be useful and could be extended for other kinds of data analysis, models, businesses used and commercial areas.
References
[1]
Yan, Z., Simon, F., Meng, Y., Yunsick, S., Kyungeun, C., Raymond, K. W. (2017). Predicting the next turn at road junction from big traffic data. Springer Science+Business Media New York, J Supercomputer 73:3128--3148.
[2]
Source: IDC Worldwide Quarterly Mobile Phone Tracker, July 31, 2018
[3]
Yang, H., Simon, F. (2009). A Framework of Business Intelligence-Driven Data Mining for E-business. NCM: 1964--1970.
[4]
Wei, C., Simon, F. (2010). Social network collaborative filtering framework and online trust factors: A case study on Facebook. IEEE: 978-1-4244-7571-1/10
[5]
Lam, L. F. (2018). MIT statement of objectives. Massachusetts Institute of Technology.
[6]
Yaoyang, W., Simon, F., Tengyue, L. (2018). Study of the Influence on Beauty Brands and Their Products from Chinese Social Network -- From the Perspective of Big Data. BDIOT 2018--258
[7]
Source: Pew Research Center's Internet & American Life Project, April 29-May 30, 2010 Tracking Survey. N=2, 252 adults 18 and older; n=1, 917 based on cell phone users
[8]
C. Van den Bulte and S. Wuyts,"Social Networks and Marketing", Marketing Science Institue 2007
[9]
J. Bjelland, G. Canright, K. Engø-Monsen, P. Sundsøy, R. Ling. (2019). A Social Network Study of the Apple vs. Android Smartphone Battle.
[10]
N. Buus Lassen, R. Madsen, R. Vatrapu. (2014). Predicting iPhone Sales from iPhone Tweets.
Index Terms
- Study of iPhone's Big Data, Market Share, Usage and Their Relationships
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Published In
August 2020
108 pages
ISBN:9781450375504
DOI:10.1145/3421537
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Association for Computing Machinery
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Published: 05 October 2020
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- Research-article
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BDIOT 2020
BDIOT 2020: 2020 the 4th International Conference on Big Data and Internet of Things
August 22 - 24, 2020
Singapore, Singapore
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Overall Acceptance Rate 75 of 136 submissions, 55%
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