UID:
almahu_9947421615102882
Format:
PDFs (386 pages) :
,
illustrations.
ISBN:
9781522504641
Content:
"This book presents scientific concepts and frameworks of data mining and analytics implementation and uses across various domains, such as public safety, criminal investigations, intrusion detection, crime scene analysis, and suspect modeling"--Provided by publisher.
Note:
On the advancement of using data mining for crime situation recognition: a comparative review / Omowunmi E. Isafiade, Antoine Bagula, Sonia Berman -- A classification framework for data mining applications in criminal science and investigations / Mahima Goyal, Vishal Bhatnagar, Arushi Jain -- Visual analytics for crime analysis and decision support / Chih-Hao Ku, Alicia Iriberri, Goutam Jena -- Crime hotspot detection: a computational perspective / Emre Eftelioglu, Shashi Shekhar, Xun Tang -- Visual data mining: a great opportunity for criminal investigation / Mehrdad Ghaziasgar [and 3 others] -- On the Use of Bayesian network in crime suspect modelling and legal decision support / O. E. Isafiade, A. B. Bagula, S. Berman -- Forensic investigation of digital crimes in healthcare applications / Nourhene Ellouze, Slim Rekhis, Noureddine Boudriga -- Data mining analytics for crime security investigation and intrusion detection / Boutheina Fessi, Yacine Djemaiel, Noureddine Boudriga -- Automated identification of child abuse in chat rooms by using data mining / Mohammadreza Keyvanpour [and 4 others] -- Data mining techniques for distributed denial of service attacks detection in the internet of things: a research survey / Pheeha Machaka, Fulufhelo Nelwamondo.
,
Also available in print.
,
Mode of access: World Wide Web.
Additional Edition:
Print version: ISBN 152250463X
Additional Edition:
ISBN 9781522504634
Language:
English
DOI:
10.4018/978-1-5225-0463-4
URL:
Chapter PDFs via platform:
Bookmarklink