Enabling Efficient Time Series Analysis for Wearable Activity Data

Van Laerhoven, Kristof; Berlin, Eugen; Schiele, Bernt

doi:DOI 10.1109/ICMLA.2009.112

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Enabling Efficient Time Series Analysis for Wearable Activity Data

Van Laerhoven, K., Berlin, E., & Schiele, B. (2009). Enabling Efficient Time Series Analysis for Wearable Activity Data. In International Conference on Machine Learning and Applications (ICMLA) (pp. 392-397). Piscataway, NJ: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0023-CC00-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0023-CC01-D

Genre: Conference Paper

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Creators:
Van Laerhoven, Kristof¹, Author
Berlin, Eugen¹, Author
Schiele, Bernt¹, Author

Affiliations:
1External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2009

Publication Status: Issued

Pages: -

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Identifiers: BibTex Citekey: 384
DOI: DOI 10.1109/ICMLA.2009.112

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Title: Eighth International Conference on Machine Learning and Applications

Place of Event: Miami Beach, FL

Start-/End Date: 2009-12-13 - 2009-12-15

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Title: International Conference on Machine Learning and Applications (ICMLA)

Abbreviation : ICMLA 2009

Source Genre: Proceedings

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 392 - 397 Identifier: ISBN: 978-0-7695-3926-3