Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2014 (Vol. 7, Issue: 10)
Article Information:

Web Crime Mining by Means of Data Mining Techniques

Javad Hosseinkhani, Suhaimi Ibrahim, Suriayati Chuprat and Javid Hosseinkhani Naniz
Corresponding Author:  Javad Hosseinkhani 

Key words:  Crime data mining techniques, forensics analysis, web crime mining, web mining, , ,
Vol. 7 , (10): 2027-2032
Submitted Accepted Published
June 22, 2013 July 08, 2013 March 15, 2014

The purpose of this study is to provide a review to mining useful information by means of Data Mining. The procedure of extracting knowledge and information from large set of data is data mining that applying artificial intelligence method to find unseen relationships of data. There is more study on data mining applications that attracted more researcher attention and one of the crucial field is criminology that applying in data mining which is utilized for identifying crime characteristics. Detecting and exploring crimes and investigating their relationship with criminals are involved in the analyzing crime process. Criminology is a suitable field for using data mining techniques that shows the high volume and the complexity of relationships between crime datasets. Therefore, for further analysis development, the identifying crime characteristic will be the first step and obtained knowledge from data mining approaches is a very useful tool to help and support police forces. This research aims to provide a review to extract useful information by means of Data Mining, in order to find crime hot spots out and predict crime trends for them using crime data mining techniques.
Abstract PDF HTML
  Cite this Reference:
Javad Hosseinkhani, Suhaimi Ibrahim, Suriayati Chuprat and Javid Hosseinkhani Naniz, 2014. Web Crime Mining by Means of Data Mining Techniques.  Research Journal of Applied Sciences, Engineering and Technology, 7(10): 2027-2032.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved