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Online advertising based on time series.

Liu, Fangyao.

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Online advertising based on time series.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Online advertising based on time series./
Author:	Liu, Fangyao.
Description:	58 p.
Notes:	Source: Masters Abstracts International, Volume: 54-06.
Contained By:	Masters Abstracts International54-06(E).
Subject:	Information technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1595189
ISBN:	9781321934984

Online advertising based on time series.
Liu, Fangyao.

Online advertising based on time series. - 58 p.

Source: Masters Abstracts International, Volume: 54-06.

Thesis (M.S.)--University of Nebraska at Omaha, 2015.

E-business is playing a more and more important role in the world, compared to several years ago. As part of the E-business, the online advertising is also increasing significantly for many companies. This thesis concentrates on the analysis of the click data of Google AdWords "IAITQM" online advertising, which contains more than one year's daily data. The overall task is to find out a better strategy of the online advertising, such as a better future click forecast. Using the time series analysis approach, event study methodology and other statistical methods, the thesis found some useful information, which in turn could affect other online advertising projects.

ISBN: 9781321934984Subjects--Topical Terms:

532993
Information technology.

Online advertising based on time series.
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500 $a Adviser: Yong Shi.
502 $a Thesis (M.S.)--University of Nebraska at Omaha, 2015.
520 $a E-business is playing a more and more important role in the world, compared to several years ago. As part of the E-business, the online advertising is also increasing significantly for many companies. This thesis concentrates on the analysis of the click data of Google AdWords "IAITQM" online advertising, which contains more than one year's daily data. The overall task is to find out a better strategy of the online advertising, such as a better future click forecast. Using the time series analysis approach, event study methodology and other statistical methods, the thesis found some useful information, which in turn could affect other online advertising projects.
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