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The investigation of the community structure has recently attracted considerable attention in social networks analysis field. Social Networks defined by the interactions between nodes, they are represented by a graph. The huge data of online social networks need to analyze and discover the hidden relations between nodes. In this research the objective represented the community detection as optimization...
The complexity of business and different variations of service providers inspire the sense of matching of the consumers with the most appropriate products and services. This specific attribute initiates the study of recommender systems, which analysis the patterns of user's interest in items or products and services to suggest personalized recommendations for all these verticals, and also to suit...
Internet as a tool of transferring data helps more industries to be more effective in their specialization. E-commerce as the next step after internet used for selling and buying. Due to the vast amount of data in this process which makes it hard and time consuming. Therefore recommender system has been introduced. It attempts to predict items or products that a user may be interested in. However,...
Discovering the root key bits in the cryptanalysis of 16-rounded Data Encryption Standard (DES-160 is considered to be a hard problem. In this paper we present an approach for cryptanalysis of DES-16 based on Particle Swarm Optimization (PSO) using Known-plaintext attack and some equations that deduced from the relationship between sub-key differences and root key information. In Known-plaintext attack...
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