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Applied Computational Intelligence and Soft Computing
Volume 2014, Article ID 871412, 11 pages
Research Article

An Activation Method of Topic Dictionary to Expand Training Data for Trend Rule Discovery

IT Research and Development Center, Toshiba Solutions Corporation, 3-22 Katamachi, Fuchu, Tokyo 183-8512, Japan

Received 23 August 2013; Revised 28 December 2013; Accepted 13 January 2014; Published 26 February 2014

Academic Editor: Ying-Tung Hsiao

Copyright © 2014 Shigeaki Sakurai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Shigeaki Sakurai, and Minoru Nishizawa, “Discovery of various sequential patterns within top-k from sequential data,” 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), pp. 446–451, . View at Publisher · View at Google Scholar
  • Michael Kevin Hernandez, Caroline Howard, Richard Livingood, and Cynthia Calongne, “Applications of Decision Tree Analytics on Semi-Structured North Atlantic Tropical Cyclone Forecasts,” International Journal of Sociotechnology and Knowledge Development, vol. 11, no. 2, pp. 31–53, 2019. View at Publisher · View at Google Scholar
  • Shigeaki Sakurai, “Discovery of Characteristic Sequential Patterns Based on Two Types of Constraints,” International Journal of Extreme Automation and Connectivity in Healthcare, vol. 1, no. 1, pp. 40–54, 2019. View at Publisher · View at Google Scholar