

- Free Download - DownArchive » E-Books » Machine Learning and Data Mining for Computer Security: Methods and Applications

Machine Learning and Data Mining for Computer Security: Methods and Applications
Publisher: Springer | ISBN: 184628029X | edition 2005 | PDF | 218 pages | 11,4 mb
The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables.
- Data Mining and Machine Learning in Cybersecurity
- Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
- Data Mining: Practical Machine Learning Tools and Techniques 3rd Edition
- Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algori ...
- Knowledge Discovery with Support Vector Machines (Wiley Series on Methods a ...
Partner
Your Link Here ?
(Pagerank 4 or above)
Last Comments
E-Books → Machine Learning and Data Mining for Computer Security: Methods and Applications
Published by: vinashare on 3 February 2010 |
0 | Report post
Machine Learning and Data Mining for Computer Security: Methods and Applications is available on a new fast direct download service with over 2,210,000 Files to choose from.Download anything with more then 1000+ Kb/s downloading speed. Signup process takes just 10 sec to go. Signup today and enjoy the speed !
Machine Learning and Data Mining for Computer Security: Methods and Applications Download Torrent. Machine Learning and Data Mining for Computer Security: Methods and Applications Download From Megaupload, Rapidshare & Hotfile. Machine Learning and Data Mining for Computer Security: Methods and Applications with keygen, crack, serial, dvdrip
Related News
- Dear visitor, you went to the site as unregistered user. Only registered and authorized users can leave comments. Please log in or Register, if not registered.
Comments (0)
Information
Members of Guest cannot leave comments.
Search





