The Corporate Information Factory

2003 ◽  
pp. 205-215 ◽  
Author(s):  
Bill Inmon
Keyword(s):  
Corporate Information

Disclosure of Corporate Information

1966 ◽  
Vol 22 (4) ◽  
pp. 19-22
Author(s):  
David Ferber
Keyword(s):  
Corporate Information

Concept of JINR Corporate Information System

2016 ◽  
Vol 13 (5) ◽  
pp. 625-628
Author(s):  
I. A. Filozova ◽  
M. V. Bashashin ◽  
V. V. Korenkov ◽  
S. V. Kuniaev ◽  
G. Musulmanbekov ◽  
...  
Keyword(s):  
Information System ◽  
Corporate Information System ◽  
Corporate Information

VISION 2020: evolutionary solutions for managing corporate information

1996 ◽  
Vol 38 (1) ◽  
pp. 10-12
Author(s):  
L. Birrell
Keyword(s):  
Vision 2020 ◽  
Corporate Information

scholarly journals Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

2017 ◽  
Vol 8 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Masoud Al Quhtani
Keyword(s):  
Data Mining ◽  
Information Security ◽  
Intrusion Detection ◽  
Mining System ◽  
Systematic Analysis ◽  
New Methods ◽  
Use Of Data ◽  
Efficient Data ◽  
Abuse Risk ◽  
Corporate Information

AbstractBackground: The globalization era has brought with it the development of high technology, and therefore new methods of preserving and storing data. New data storing techniques ensure data are stored for longer periods of time, more efficiently and with a higher quality, but also with a higher data abuse risk. Objective: The goal of the paper is to provide a review of the data mining applications for the purpose of corporate information security, and intrusion detection in particular. Methods/approach: The review was conducted using the systematic analysis of the previously published papers on the usage of data mining in the field of corporate information security. Results: This paper demonstrates that the use of data mining applications is extremely useful and has a great importance for establishing corporate information security. Data mining applications are directly related to issues of intrusion detection and privacy protection. Conclusions: The most important fact that can be specified based on this study is that corporations can establish a sustainable and efficient data mining system that will ensure privacy and successful protection against unwanted intrusions.

Corporate information, institutional culture and knowledge management: a UK university library perspective

2002 ◽  
Vol 103 (9) ◽  
pp. 320-327 ◽  
Author(s):  
Damien McManus ◽  
Brendan Loughridge
Keyword(s):  
Knowledge Management ◽  
Institutional Culture ◽  
University Library ◽  
Corporate Information
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