Subscription or Fee Access
A Divisive Clustering Algorithm for Performance Monitoring of Large Networks using Maximum Common Subgraphs
In managing huge-enterprise communication networks, the ability to measure similarity is an important performance monitoring function. It is possible to draw certain significant conclusions regarding effective utilization of networks by characterizing a computer network as a time series of graphs with IP addresses as nodes and communication between nodes as edges. Measuring similarity of graphs is a significant task in mining the graph data for matching, comparing, and evaluating patterns in huge graph databases. The problem of finding the nodes in the communication network which are always active can be formulated as a Maximum Common Subgraph (MCS) detection problem. This paper presents a Divisive Clustering MCS detection algorithm (DC-MCS) to find all maximum comomn subgraphs of k graphs in a graph database. The uniqueness of this algorithm lies in the facts that it considers any number of input graphs can and it scans the graph database only once. The series of experiments performed and the comparison of empirical results with the existing algorithms further ensure the efficiency of the proposed algorithm.
graph mining, graph similarity, graph matching, maximum common subgraph,heap-based MCS algorithm.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.