Titlebook: New Frontiers in Applied Data Mining; PAKDD 2011 Internati Longbing Cao,Joshua Zhexue Huang,Jun Luo Conference proceedings 2012 Springer-Ve

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Blogger-Link-Topic Model for Blog Miningcial media. In this paper, we propose the blogger-link-topic model for blog mining based on the multiple attributes of blog content, bloggers, and links. In addition, we present a unique blog classification framework that computes the normalized document-topic matrix, which is applied our model to r

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A Random Indexing Approach for Web User Clustering and Web Prefetchingctor space model Random Indexing to identify the latent factors or hidden relationships among Web users’ navigational behaviour. Random Indexing is an incremental vector space technique that allows for continuous Web usage mining. User requests are modelled by Random Indexing for individual users’ n

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A Novel Method for Community Detection in Complex Network Using New Representation for Communitiesics and biology. Identifying communities in complex networks can help us to understand and exploit the networks more clearly and efficiently. In this paper, we investigate the topological structure of complex networks and propose a novel method for community detection in complex network, which owns

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Link Prediction on Evolving Data Using Tensor Factorization networks is link prediction. Most link prediction algorithms are based on the underlying network structure in terms of traditional graph theory. In order to design efficient algorithms for large scale networks, researchers increasingly adapt methods from advanced matrix and tensor computations..Thi

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