Community Trend Outlier Detection Using Soft Temporal Pattern Mining

  title={Community Trend Outlier Detection Using Soft Temporal Pattern Mining},
  author={Manish Gupta and Jing Gao and Yizhou Sun and Jiawei Han},
Numerous applications, such as bank transactions, road traffic, and news feeds, generate temporal datasets, in which data evolves continuously. To understand the temporal behavior and characteristics of the dataset and its elements, we need effective tools that can capture evolution of the objects. In this paper, we propose a novel and important problem in evolution behavior discovery. Given a series of snapshots of a temporal dataset, each of which consists of evolving communities, our goal is… CONTINUE READING
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