copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

V. Unnikrishnan, Y. Shah, M. Schleicher, M. Strandzheva, P. Dimitrov, D. Velikova, R. Pryss, J. Schobel, W. Schlee, and M. Spiliopoulou. DS , volume 12323 of Lecture Notes in Computer Science, page 659-673. Springer, (2020)

Links and resources

URL:: http://dblp.uni-trier.de/db/conf/dis/dis2020.html#UnnikrishnanSSS20
BibTeX key:: conf/dis/UnnikrishnanSSS20
search on:: Google Scholar Microsoft Bing WorldCat BASE

Comments and Reviews
(0)

There is no review or comment yet. You can write one!

Cite this publication

@inproceedings{conf/dis/UnnikrishnanSSS20,
  added-at = {2020-11-30T03:51:58.000+0100},
  author = {Unnikrishnan, Vishnu and Shah, Yash and Schleicher, Miro and Strandzheva, Mirela and Dimitrov, Plamen and Velikova, Doroteya and Pryss, Rüdiger and Schobel, Johannes and Schlee, Winfried and Spiliopoulou, Myra},
  biburl = {https://www.bibsonomy.org/bibtex/26e4fe0a786f151cd0b43966bd3342733/kmd-ovgu},
  booktitle = {DS},
  crossref = {conf/dis/2020},
  editor = {Appice, Annalisa and Tsoumakas, Grigorios and Manolopoulos, Yannis and Matwin, Stan},
  ee = {https://doi.org/10.1007/978-3-030-61527-7_43},
  interhash = {d6bb1430f2b2e8105fec6811bf3add06},
  intrahash = {6e4fe0a786f151cd0b43966bd3342733},
  isbn = {978-3-030-61527-7},
  keywords = {kmd mHealth medical_mining myown},
  pages = {659-673},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2020-11-30T03:51:58.000+0100},
  title = {Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?},
  url = {http://dblp.uni-trier.de/db/conf/dis/dis2020.html#UnnikrishnanSSS20},
  volume = 12323,
  year = 2020
}

%0 Conference Paper
%1 conf/dis/UnnikrishnanSSS20
%A Unnikrishnan, Vishnu
%A Shah, Yash
%A Schleicher, Miro
%A Strandzheva, Mirela
%A Dimitrov, Plamen
%A Velikova, Doroteya
%A Pryss, Rüdiger
%A Schobel, Johannes
%A Schlee, Winfried
%A Spiliopoulou, Myra
%B DS
%D 2020
%E Appice, Annalisa
%E Tsoumakas, Grigorios
%E Manolopoulos, Yannis
%E Matwin, Stan
%I Springer
%K kmd mHealth medical_mining myown
%P 659-673
%T Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?
%U http://dblp.uni-trier.de/db/conf/dis/dis2020.html#UnnikrishnanSSS20
%V 12323
%@ 978-3-030-61527-7

BibSonomy

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

Links and resources

Comments and Reviews
(0)

Tags

Cite this publication

Meta data

community

In collection of:

tags (@kmd-ovgu's tags highlighted)

BibSonomy

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

Links and resources

Comments and Reviews (0)

Tags

Cite this publication

Meta data

community

In collection of:

tags (@kmd-ovgu's tags highlighted)

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

Comments and Reviews
(0)