BulDML at Institute of Mathematics and Informatics >
International Journal ITA >
2008 >
Volume 15 Number 1 >

Please use this identifier to cite or link to this item:

Title: Intelligent Model of User Behavior in Distributed Systems
Authors: Shelestov, Andrii
Skakun, Serhiy
Kussul, Olga
Keywords: distributed systems
user behavior model
neural networks
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: We present a complex neural network model of user behavior in distributed systems. The model reflects both dynamical and statistical features of user behavior and consists of three components: on-line and off-line models and change detection module. On-line model reflects dynamical features by predicting user actions on the basis of previous ones. Off-line model is based on the analysis of statistical parameters of user behavior. In both cases neural networks are used to reveal uncharacteristic activity of users. Change detection module is intended for trends analysis in user behavior. The efficiency of complex model is verified on real data of users of Space Research Institute of NASU-NSAU.
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 1

Files in This Item:

File Description SizeFormat
ijita15-1-p11.pdf144.14 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License