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Mining User-Aware Rare Sequential Topic Patterns in Document Streams

Mining User-Aware Rare Sequential Topic Patterns in Document Streams

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 Mining User-Aware Rare Sequential Topic Patterns in Document Streams

 Textual documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In this paper, in order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet.


 


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  • Model: PROJ7111
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Tuesday 06 June, 2017.

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