T-Scroll: Visualizing Trends in a Time-Series of Documents for Interactive User Exploration

Author:

Ishikawa Yoshiharu,Hasegawa Mikine

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Kontostathis, A., Galitsky, L.M., Pottenger, W.M., Roy, S., Phelps, D.J.: A survey of emerging trend detection in textual data mining. In: Berry, M.W. (ed.) Survey of Text Mining: Clustering, Classification, and Retrieval, pp. 185–224. Springer, Heidelberg (2003)

2. Allan, J. (ed.): Topic Detection and Tracking: Event-based Information Organization. Kluwer, Dordrecht (2002)

3. Müller, W., Schumann, H.: Visualization methods for time-dependent data: An overview. In: Proc. of 2003 Winter Simulation Conf., pp. 737–745 (2003)

4. Havre, S., Hetzler, E., Whitney, P., Nowell, L.: ThemeRiver: Visualizing thematic challenges in large document collections. IEEE Trans. on Visualization and Computer Graphics 8(1), 9–20 (2002)

5. Swan, R., Allan, J.: Automatic generation of overview timelines. In: Proc. of ACM SIGIR, pp. 49–56 (2000)

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