Publications of E. Keogh
Articles in journal or book's chapters
  1. K. Chakrabarti, E. Keogh, S. Mehrotra, and M. Pazzani. Locally adaptive dimensionality reduction for indexing large time series databases. ACM Transactions on Database Systems (TODS), 27(2):188--228 , 2002. (bibtex entry)

  2. E. Keogh, K. Chakrabarti, M. Pazzani, and S. Mehrotra. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases. Knowledge and Information Systems, 3(3):263--286 , 2000. (bibtex entry)

Conference's articles
  1. J. Lin, E. Keogh, S. Lonardi, and B. Chiu. A symbolic representation of time series, with implications for streaming algorithms. In Proc. of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, San Diego, California, pages 2--11, 2003. ACM Press. (http://doi.acm.org/10.1145/882082.882086) (bibtex entry)

  2. E Keogh, S. Chu, D. Hart, and M.J. Pazzani. An Online Algorithm for Segmenting Time Series. In Proc. of the IEEE Int. Conf. on Data Mining (ICDM), San Jose, USA , pages 289--296, 2001. (bibtex entry)

  3. E. Keogh and M. Pazzani. An enhanced representation of time series which allows fast and accurate classification clustering and relevance feedback. In 4th Int. Conf. on Knowledge Discovery and Data Mining, New York, pages 239--243, August 1998. (http://www.cs.ucr.edu/~eamonn/kdd98.pdf ) (bibtex entry)

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