1 publication

• Published Subscription 15 May 2018

  Data Mining Methods for Terrorist Activity

  By Ezhilarasi R, P. Arumugam

  Abstract: ABSTRACTIdentification of outliers is an important component of data mining since such observations can have a profound influence and distort the analysis. In the recent years, detection of outlier has been broadly applied in the field of data mining. It is an important method for many research applications such as credit card fraud, computer intrusion detection, and criminal activities in electronic commerce, medical diagnosis and anti-terrorism, image processing, etc. Detection …

  Published in Journal Of Network security · Vol. 5, Issue 3, 2017 · pp. 17–22 Read article →