Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16536
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Comparative Study of Heuristic Hybrid of Markov Chain Monte Carlo and Dynamic Programming Methodologies for Network Fault Analysis
Authors: Jaudet, Mohammad
Iqbal, Naeem
Mirza, Nasir M
Mirza, Sikander M
Hussain, Amir
Contact Email: amir.hussain@stir.ac.uk
Keywords: Data mining
Dynamic programming
Event sequence
Change-points
Maximum likelihood
MCMC
Issue Date: Apr-2007
Publisher: International Journal of Computer Science and Network Security
Citation: Jaudet M, Iqbal N, Mirza NM, Mirza SM & Hussain A (2007) Comparative Study of Heuristic Hybrid of Markov Chain Monte Carlo and Dynamic Programming Methodologies for Network Fault Analysis, International Journal of Computer Science and Network Security, 7 (4), pp. 32-41.
Abstract: Modeling of network-faults based time-sequence data by piecewise constant intensity function has been carried out using a heuristic approach that employs both Markov Chain Monte Carlo approach (MCMC) and Dynamic Programming algorithm (DPA) methodologies. The results for synthetic as well as for real data show that both MCMC and DPA have close agreement between predicted and actual values. Remarkable speedup (4 to 5 times) has been observed by augmentation of the heuristic method. Due to higher efficiency the proposed approach is well suited for cases with larger data sets requiring near-optimal solution.
Type: Journal Article
URI: http://hdl.handle.net/1893/16536
URL: http://paper.ijcsns.org/07_book/200704/20070405.pdf
Rights: The publisher has not yet responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Pakistan Institute of Engineering and Applied Sciences
Pakistan Institute of Engineering and Applied Sciences
Pakistan Institute of Engineering and Applied Sciences
Pakistan Institute of Engineering and Applied Sciences
Computing Science - CSM Dept

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