Towards Provenance Capturing of Quantified Self Data-Reference-Cited by-同舟云学术

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Towards Provenance Capturing of Quantified Self Data

Published:2016 Issue: Volume: Page:218-221
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Schreiber Andreas,Seider Doreen

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-40593-3_25

Reference10 articles.

1. Lecture Notes in Computer Science;MD Allen,2010

2. Bachmann, A., Bergmeyer, H., Schreiber, A.: Evaluation of aspect-oriented frameworks in python for extending a project with provenance documentation features. Python Pap. 6(3), 3 (2011)

3. Hoy, M.B.: Personal activity trackers and the quantified self. Med. Ref. Serv. Q 35(1), 94–100 (2016)

4. Lecture Notes in Computer Science;TD Huynh,2015

5. Janisch, B.: Developing an abstract Quantified Self Provenance model. Master project, University of Applied Sciences Bonn-Rhein-Sieg (2015). http://elib.dlr.de/100752/

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visualizing the Provenance of Personal Data Using Comics;Computers;2018-02-01

2. Tracing Personal Data Using Comics;Universal Access in Human–Computer Interaction. Design and Development Approaches and Methods;2017

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