Using Incremental PLSI for Threshold-Resilient Online Event Analysis

  title={Using Incremental PLSI for Threshold-Resilient Online Event Analysis},
  author={Tzu-Chuan Chou and Meng Chang Chen},
  journal={IEEE Transactions on Knowledge and Data Engineering},
The goal of online event analysis is to detect events and track their associated documents in real time from a continuous stream of documents generated by multiple information sources. Unlike traditional text categorization methods, event analysis approaches consider the temporal relations among documents. However, such methods suffer from the threshold-dependency problem, so they only perform well for a narrow range of thresholds. In addition, if the contents of a document stream change, the… CONTINUE READING
Highly Cited
This paper has 68 citations. REVIEW CITATIONS
40 Citations
19 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 40 extracted citations

68 Citations

Citations per Year
Semantic Scholar estimates that this publication has 68 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 19 references

New Event Detection with Nearest Neighbor, Support Vector Machines and Kernel Regression

  • J. Zhang, Y. Yang, J. Carbonell
  • Technical Report CMU-CS-04-118 (CMU-LTI-04-180…
  • 2007
2 Excerpts

Similar Papers

Loading similar papers…