Adaptive Modeling for Real Time Analytics: The Case of "Big Data" in Mobile Advertising

Donald J. Kridel; Daniel R. Dolk; David G. Castillo

doi:10.1109/HICSS.2015.111

Adaptive Modeling for Real Time Analytics: The Case of "Big Data" in Mobile Advertising

Donald J. Kridel
, Daniel R. Dolk
, David G. Castillo

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Hawaii International Conference on System Sciences
DOIs	https://doi.org/10.1109/HICSS.2015.111
State	Published - Jan 1 2015

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Public Relations and Advertising
Computer Sciences

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10.1109/HICSS.2015.111License: Unspecified

Cite this

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AU - Dolk, Daniel R.

AU - Castillo, David G.

N1 - Mobile marketing campaigns are now largely deployed through the intermediaries of demand side platforms (DSPs) who provide a performance-intensive real-tim

PY - 2015/1/1

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M3 - Article

JO - Hawaii International Conference on System Sciences

JF - Hawaii International Conference on System Sciences

ER -

Adaptive Modeling for Real Time Analytics: The Case of "Big Data" in Mobile Advertising

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