54 citations · 67 across the 14 of their papers we have counts for
Showing 2019Show all
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stat.ME2019★ 3 cited
A Latent Topic Model with Markovian Transition for Process Data
Haochen Xu, Guanhua Fang, Zhiliang Ying
We propose a latent topic model with a Markovian transition for process data, which consist of time-stamped events recorded in a log file. Such data are becoming more widely availa…
stat.ME2019★ 7 cited
Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
Guanhua Fang, Zhiliang Ying
Process data, temporally ordered categorical observations, are of recent interest due to its increasing abundance and the desire to extract useful information. A process is a colle…