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Data-driven pattern prediction is the process of using large volume of related historical data to extract the inner patterns of some observed objects on their behaviors or some phenomena, and then using extracted patterns to make accurate prediction rapidly.
Key Application
Guiding keyword bidding based on the patterns of user clicks from web logs.
Guiding traffic evacuation based on the patterns of rush hours in a city.
Guiding resource management based on the patterns of resource demands in a cluster.
Background of Data-Driven Pattern Prediction
With the rapid growth of the Internet, there is a huge amount of data accumulated in human’s activities. For example, within the Internet minute in 2013 (Lena long, 2013), there are tens of thousands of application downloads, millions of search queries, and tens of millions of photo views. As a result, hundreds of thousands of gigabytes are transferred globally through IP packets over the...
References
Big Data (2016). https://en.wikipedia.org/wiki/Big_data
Lena long (2013). What Happens in an Internet Minute. http://www.dailyinfographic.com/what-happens-in-an-internet-minute-infographic
Mta Subway Data (2018). https://spatialityblog.com/2010/07/08/mta-gis-data-update/
Population of Manhattan, Hour by Hour (2018). https://untappedcities.com/2018/05/15/
Turnstile Data of Metropolitan Transportation Authority (2018). http://web.mta.info/developers/turnstile.html
Zhang H, Ananthanarayanan G, Bodik P, Philipose M, Bahl P, Freedman MJ (2017) Live video analytics at scale with approximation and delay-tolerance. In: NSDI, vol 9, p 1
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Qian, Z. (2019). Data-Driven Pattern Prediction. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_88-1
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DOI: https://doi.org/10.1007/978-3-319-32903-1_88-1
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