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  • 标题:Accomplishment of Neural Networks in e-Advertisements for various Industries
  • 本地全文:下载
  • 作者:Shilpi ; B. K. Sharma
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:2
  • 页码:1228
  • DOI:10.15680/IJIRCCE.2016.0402023
  • 出版社:S&S Publications
  • 摘要:e-Advertisements play a vital role to increase sales globally. e-Advertising offers many advantages including immediate and uninterrupted line of communication with users of Industry's products and services and the cost of e-advertising is not as much of print advertising to complete a huge segmented market. The major benefit of e-Advertising is the direct publishing of information and content that is unlimited by time or geography. However, the Emerging Area of Interactive Advertisingcreates new challenges for Advertisers who have previously accepted an interruptive strategy.Though, Neural Network is a estimating tool for dynamic and changing market environments. A key of neural networks is that a properly trained network can be reflected on experts with regard to the output project for which it was created to observe. This paper briefs about various advertiser Industry trends. Various types of industries e-advertisement related data from 2005 to 2014 have been collected from IAB (Internet Advertisement Bureau) and implemented the Back Propagation technique of Neural Network for predicting utilization of e-ads in various industries. Effective use of data mining will allocate e-advertisements in various industries like consumer service, auto, travel, computing, financial service, retail, telecommunication, media etc
  • 关键词:e-Advertisements; Neural Networks; IAB
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