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In this paper we propose a web log mining-based network user behavior analysis scheme, which plays an important role in network structure optimization and website server configuration. Based on clustering and regression model, we studied the network user's visit model in a university by analyzing a large amount of web log data which is collected from the university campus network. The data analyzing...
Inspired by a huge amount of empirical study of real world networks such as the Internet, the Web, as well as various social and biological networks, researchers have in recent years developed several random graph models to help us to understand the most fundamental properties of these systems. Simple characteristics observed in many real world networks are 1.) a high clustering coefficient, i.e.,...
As a programming model, MapReduce is popularly and widely used in processing and generating large cluster of data sets distributed on large amount of machines. With its widespread use, its validity and other major properties need to be analyzed in a formal framework. In this paper, a formal model is presented using CSP method. We focus on the dominant parts of MapReduce and formalize them in detail...
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