Segmenting, Summarizing and Predicting Data Sequences
Temporal data is ubiquitous nowadays and can be easily found in many applications. Consider the extensively studied social media website Twitter. All the information can be associated with time stamps, and thus form different types of data sequences: a sequence of feature values of users who retweet...
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Virginia Tech
2018
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| Online Access: | http://hdl.handle.net/10919/83573 |