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News (Last update: 03/2014)

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Incremental Centroid Decomposition for Online Time Series (BSc/MSc)

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Mourad Khayati

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Mourad Khayati
Mourad Khayati is a research assistant and doctoral student at the University of Zurich in the Database Technology Research Group working on his doctoral thesis under the supervision of Prof. Dr. Michael Böhlen.

Research projects

  • REVIVAL (2010-now): Recovery of Missing Values in Time series
  • MEDAN (2009): Competence Center for Medical Data Warehousing and Analysis

Student projects

Lectures

Publications (DBLP)

  • M. Khayati, M.H. Böhlen and J. Gamper: Memory-efficient Centroid Decomposition for Long Time Series, In Proc. of the 30th IEEE International Conference on Data Engineering (ICDE-14), pages: 100-111, 2014, Chicago, Illinois, USA. Paper PosterSoftware.
  • M. Khayati, M.H. Böhlen and J. Gamper: Scalable Centroid Decomposition, IFI Technical Report # IFI-2013.08, Version 1, 2013, Department of Informatics, University of Zürich.Report.
    Note: The proof of the local optimal choice property (Lemma 6) of ICDE'14 paper has been extented to include all possible cases.
  • M. Khayati, M.H. Böhlen: REBOM: Recovery of Blocks of Missing Values in Time Series. In Proc. of the 18th International Conference of Managment of Data (COMAD-12), pages: 44-55, 2012, Pune, India. Paper Software.

Contact Information

Email mkhayati AT ifi.uzh.ch
Address University of Zürich
Department of Informatics
Binzmühlestrasse 14
CH-8050 Zürich
Switzerland
Office 2.E.10
Tel. +41-44-635-4336
Fax. +41-44-635-6809
Mourad Khayati