---
_id: '4336'
abstract:
- lang: eng
text: "Prolonged life expectancy along with the increasing complexity of medicine
and health services raises health costs worldwide dramatically. Whilst the smart
health concept has much potential to support the concept of the emerging P4-medicine
(preventive, participatory, predictive, and personalized), such high-tech medicine
produces large amounts of high-dimensional, weakly-structured data sets and massive
amounts of unstructured information. All these technological approaches along
with “big data” are turning the medical sciences into a data-intensive science.
To keep pace with the growing amounts of complex data, smart hospital approaches
are a commandment of the future, necessitating context aware computing along with
advanced interaction paradigms in new physical-digital ecosystems.\r\n\r\nThe
very successful synergistic combination of methodologies and approaches from Human-Computer
Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions
for the vision to support human intelligence with machine learning.\r\n\r\nThe
papers selected for this volume focus on hot topics in smart health; they discuss
open problems and future challenges in order to provide a research agenda to stimulate
further research and progress."
citation:
ama: 'Holzinger A, Röcker C, Ziefle M, eds. Smart Health: Open Problems and Future
Challenges. Vol 8700. Heidelberg: Springer; 2015. doi:10.1007/978-3-319-16226-3'
apa: 'Holzinger, A., Röcker, C., & Ziefle, M. (Eds.). (2015). Smart Health:
Open Problems and Future Challenges (Vol. 8700). Heidelberg: Springer. https://doi.org/10.1007/978-3-319-16226-3'
bjps: 'Holzinger A, Röcker C and Ziefle M (eds) (2015) Smart Health: Open
Problems and Future Challenges. Heidelberg: Springer.'
chicago: 'Holzinger, Andreas, Carsten Röcker, and Martina Ziefle, eds. Smart
Health: Open Problems and Future Challenges. Vol. 8700. Lecture Notes in Computer
Science / Information Systems and Applications, Incl. Internet/Web, and HCI.
Heidelberg: Springer, 2015. https://doi.org/10.1007/978-3-319-16226-3.'
chicago-de: 'Holzinger, Andreas, Carsten Röcker und Martina Ziefle, Hrsg. 2015.
Smart Health: Open Problems and Future Challenges. Bd. 8700. Lecture Notes
in Computer Science / Information Systems and Applications, incl. Internet/Web,
and HCI. Heidelberg: Springer. doi:10.1007/978-3-319-16226-3,
.'
din1505-2-1: 'Holzinger, A. ; Röcker, C. ; Ziefle,
M. (Hrsg.): Smart Health: Open Problems and Future Challenges, Lecture
Notes in Computer Science / Information Systems and Applications, incl. Internet/Web,
and HCI. Bd. 8700. Heidelberg : Springer, 2015'
havard: 'A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and
Future Challenges, Springer, Heidelberg, 2015.'
ieee: 'A. Holzinger, C. Röcker, and M. Ziefle, Eds., Smart Health: Open Problems
and Future Challenges, vol. 8700. Heidelberg: Springer, 2015.'
mla: 'Holzinger, Andreas, et al., editors. Smart Health: Open Problems and Future
Challenges. Vol. 8700, Springer, 2015, doi:10.1007/978-3-319-16226-3.'
short: 'A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and
Future Challenges, Springer, Heidelberg, 2015.'
ufg: 'Holzinger, Andreas et. al. (Hgg.) (2015): Smart Health: Open Problems
and Future Challenges (=Lecture Notes in Computer Science / Information Systems
and Applications, incl. Internet/Web, and HCI 8700), Heidelberg.'
van: 'Holzinger A, Röcker C, Ziefle M, editors. Smart Health: Open Problems and
Future Challenges. Heidelberg: Springer; 2015. 275 p. (Lecture Notes in Computer
Science / Information Systems and Applications, incl. Internet/Web, and HCI;
vol. 8700).'
date_created: 2021-01-08T12:03:52Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
doi: 10.1007/978-3-319-16226-3
editor:
- first_name: Andreas
full_name: Holzinger, Andreas
last_name: Holzinger
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
- first_name: Martina
full_name: Ziefle, Martina
last_name: Ziefle
intvolume: ' 8700'
keyword:
- HCI
- ambient assisted living
- big data
- computational intelligence
- context awareness
- data centric medicine
- decision support
- interactive data mining
- keyword detection
- knoweldge bases
- knoweldge discovery
- machine learning
- medical decision support
- medical informatics
- natural language processing
- pervasive health
- smart home
- ubiquitous computing
- visualization
- wearable sensors
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'http://www.springerlink.com/content/978-3-319-16226-3 '
oa: '1'
page: '275'
place: Heidelberg
publication_identifier:
eisbn:
- 978-3-319-16226-3
eissn:
- 1611-3349
isbn:
- 978-3-319-16225-6
issn:
- 0302-9743
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science / Information Systems and Applications,
incl. Internet/Web, and HCI
status: public
title: 'Smart Health: Open Problems and Future Challenges'
type: book_editor
user_id: '15514'
volume: 8700
year: 2015
...
---
_id: '597'
abstract:
- lang: eng
text: "This paper is aimed to discuss current research using data mining techniques
and industry statistics in production environments. The general research approach
is based on the idea of using data mining processes and techniques of industry
statistics to find rare and hidden patterns behind failures of complex components.
A case study will be applied to illustrate how the technique is carried out and
where the limits of this approach occur. The case study deals with a component
supplier of printing machines, which received an increasing number of client complaints,
all related to one distinct problem. The observed failures seem to occur only
among clients with very high quality standards. The affected component undergoes
a very complex production process with several steps in different departments.
Every single production unit records data information from multiple process variables
and at different points in time. In the beginning there was no understanding of
the failure causes in production at all. Therefore a huge amount of production
data had to be analyzed to find the pattern that discloses the failure.\r\nThe
data mining process starts with a first step in which the given data sets are
prepared and then cleaned. Followed up by building a prediction model. The aim
is to detect the root causes for failures and to predict potential failures in
affected components. This paper shows how to use data mining to get the answer
on pressing production failures.\r\n"
author:
- first_name: Eva
full_name: Scheideler, Eva
id: '61522'
last_name: Scheideler
- first_name: Andrea
full_name: Ahlemeyer-Stubbe, Andrea
last_name: Ahlemeyer-Stubbe
citation:
ama: 'Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find
Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production
Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. Production
Engineering and Management : Proceedings, 5th International Conference, October
1 and 2, 2015, Trieste, Italy. Hochschule Ostwestfalen-Lippe; 2015:163-174.'
apa: 'Scheideler, E., & Ahlemeyer-Stubbe, A. (2015). Data Mining: A Potential
Detector to Find Failure in Complex Components. In E. Padoano, F.-J. Villmer,
Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe
(Eds.), Production engineering and management : proceedings, 5th international
conference, October 1 and 2, 2015, Trieste, Italy (Issue 1, pp. 163–174).
Hochschule Ostwestfalen-Lippe.'
bjps: 'Scheideler E and Ahlemeyer-Stubbe A (2015) Data Mining: A Potential
Detector to Find Failure in Complex Components. In Padoano E et al. (eds), Production
Engineering and Management : Proceedings, 5th International Conference, October
1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe, pp. 163–174.'
chicago: 'Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential
Detector to Find Failure in Complex Components.” In Production Engineering
and Management : Proceedings, 5th International Conference, October 1 and 2, 2015,
Trieste, Italy, edited by Elio Padoano, Franz-Josef Villmer, Department of
Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 163–74.
Lemgo: Hochschule Ostwestfalen-Lippe, 2015.'
chicago-de: 'Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2015. Data Mining: A Potential
Detector to Find Failure in Complex Components. In: Production engineering
and management : proceedings, 5th international conference, October 1 and 2, 2015,
Trieste, Italy, hg. von Elio Padoano, Franz-Josef Villmer, Department of Production
Engineering and Management, und Hochschule Ostwestfalen-Lippe, 163–174. Lemgo:
Hochschule Ostwestfalen-Lippe.'
din1505-2-1: 'Scheideler, Eva ; Ahlemeyer-Stubbe, Andrea: Data Mining:
A Potential Detector to Find Failure in Complex Components. In: Padoano,
E. ; Villmer, F.-J. ; Department of Production Engineering and Management
; Hochschule Ostwestfalen-Lippe
(Hrsg.): Production engineering and management : proceedings, 5th international
conference, October 1 and 2, 2015, Trieste, Italy. Lemgo : Hochschule Ostwestfalen-Lippe,
2015, S. 163–174'
havard: 'E. Scheideler, A. Ahlemeyer-Stubbe, Data Mining: A Potential Detector to
Find Failure in Complex Components, in: E. Padoano, F.-J. Villmer, Department
of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),
Production Engineering and Management : Proceedings, 5th International Conference,
October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015:
pp. 163–174.'
ieee: 'E. Scheideler and A. Ahlemeyer-Stubbe, “Data Mining: A Potential Detector
to Find Failure in Complex Components,” in Production engineering and management :
proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy,
Trieste, Italy, 2015, no. 1, pp. 163–174.'
mla: 'Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential Detector
to Find Failure in Complex Components.” Production Engineering and Management :
Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy,
edited by Elio Padoano et al., no. 1, Hochschule Ostwestfalen-Lippe, 2015, pp.
163–74.'
short: 'E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department
of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),
Production Engineering and Management : Proceedings, 5th International Conference,
October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015,
pp. 163–174.'
ufg: 'Scheideler, Eva/Ahlemeyer-Stubbe, Andrea: Data Mining: A Potential
Detector to Find Failure in Complex Components, in: Padoano, Elio u. a. (Hgg.):
Production engineering and management : proceedings, 5th international conference,
October 1 and 2, 2015, Trieste, Italy, Lemgo 2015, S. 163–174.'
van: 'Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find
Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production
Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production
engineering and management : proceedings, 5th international conference, October
1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. p.
163–74.'
conference:
end_date: 2015-10-02
location: Trieste, Italy
name: '5th International Conference "Production Engineering and Management" '
start_date: 2015-10-01
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-19T07:15:57Z
date_updated: 2024-03-22T13:12:47Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
id: '14290'
last_name: Villmer
issue: '1'
keyword:
- Data mining
- production failure
- multi-variant analysis
- multivariate process control
- predictive modelling
- case study
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
oa: '1'
page: 163-174
place: Lemgo
publication: 'Production engineering and management : proceedings, 5th international
conference, October 1 and 2, 2015, Trieste, Italy'
publication_identifier:
isbn:
- 978-3-941645-11-0
publication_status: published
publisher: Hochschule Ostwestfalen-Lippe
related_material:
link:
- relation: contains
url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
status: public
title: 'Data Mining: A Potential Detector to Find Failure in Complex Components'
type: conference
user_id: '83781'
year: '2015'
...
---
_id: '2113'
abstract:
- lang: eng
text: In this paper, we sketch an idea for the integration of singleclass support
vector machines (SVM) into fuzzy class learning. As result,we obtain robust and transparent rule-based fuzzy classification models
suitable for online-classification tasks. In particular, the singleclass SVM is
employed to extend the applicability of convex fuzzy classifica-tion models to
nonconvex datainherent structures. The key point of thisextension is the preservation of the interpretability for both, the classlearning
and the classification process. The feasibility of the approach isdemonstrated
in the context of a banknote authentication application.
author:
- first_name: Arne-Jens
full_name: Hempel, Arne-Jens
last_name: Hempel
- first_name: Holger
full_name: Hähnel, Holger
last_name: Hähnel
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification
for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In:
BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum
Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik;
2012.'
apa: Hempel, A.-J., Hähnel, H., Mönks, U., & Lohweg, V. (2012). SVM-integrated
Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to
Banknote Authentication. In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung
in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle
Informationstechnik.
bjps: Hempel A-J et al. (2012) SVM-Integrated Fuzzy Pattern Classification
for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. BVAu
2012 - 3. Jahresolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial
IT, Lemgo,. inIT-Institut für industrielle Informationstechnik.
chicago: Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks, and Volker Lohweg. “SVM-Integrated
Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to
Banknote Authentication.” In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung
in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle
Informationstechnik, 2012.
chicago-de: 'Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks und Volker Lohweg. 2012.
SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures
Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung
in der Automation“ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle
Informationstechnik.'
din1505-2-1: 'Hempel, Arne-Jens ;
Hähnel, Holger ; Mönks,
Uwe ; Lohweg, Volker: SVM-integrated
Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to
Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung
in der Automation“ Centrum Industrial IT, Lemgo, : inIT-Institut für industrielle
Informationstechnik, 2012'
havard: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, SVM-integrated Fuzzy Pattern
Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,
in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum
Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.'
ieee: A.-J. Hempel, H. Hähnel, U. Mönks, and V. Lohweg, “SVM-integrated Fuzzy Pattern
Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,”
in BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum
Industrial IT, Lemgo, 2012.
mla: Hempel, Arne-Jens, et al. “SVM-Integrated Fuzzy Pattern Classification for
Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” BVAu
2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial
IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.
short: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, in: BVAu 2012 - 3. Jahresolloquium
“Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut
für industrielle Informationstechnik, 2012.'
ufg: 'Hempel, Arne-Jens et. al. (2012): SVM-integrated Fuzzy Pattern Classification
for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in:
BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum
Industrial IT, Lemgo,.'
van: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification
for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In:
BVAu 2012 - 3 Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial
IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.'
date_created: 2019-12-03T06:50:52Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
keyword:
- fuzzy classification
- pattern recognition
- single-class support vector machine
- data mining
language:
- iso: eng
publication: BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum
Industrial IT, Lemgo,
publisher: inIT-Institut für industrielle Informationstechnik
status: public
title: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures
Applied to Banknote Authentication
type: conference
user_id: '45673'
year: 2012
...
---
_id: '4823'
abstract:
- lang: eng
text: The purpose of this paper is to explore alternative approaches and strategies
for email filtering and notification with the rationale of developing an unobtrusive
notification interface that can adapt to the user's context.
author:
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
- first_name: Victor
full_name: Bayon, Victor
last_name: Bayon
- first_name: Maral
full_name: Memisoglu, Maral
last_name: Memisoglu
- first_name: Norbert
full_name: Streitz, Norbert
last_name: Streitz
citation:
ama: 'Röcker C, Bayon V, Memisoglu M, Streitz N. Context-Dependent Email Notification
Using Ambient Displays and Mobile Devices. In: Tarumi H, Li Y, Yoshida T, eds.
Proceedings of the 2005 International Conference on Active Media Technology.
Piscataway, NJ: IEEE; 2005:137-138. doi:10.1109/AMT.2005.1505288'
apa: 'Röcker, C., Bayon, V., Memisoglu, M., & Streitz, N. (2005). Context-Dependent
Email Notification Using Ambient Displays and Mobile Devices. In H. Tarumi, Y.
Li, & T. Yoshida (Eds.), Proceedings of the 2005 International Conference
on Active Media Technology (pp. 137–138). Piscataway, NJ: IEEE. https://doi.org/10.1109/AMT.2005.1505288'
bjps: 'Röcker C et al. (2005) Context-Dependent Email Notification
Using Ambient Displays and Mobile Devices. In Tarumi H, Li Y and Yoshida T (eds),
Proceedings of the 2005 International Conference on Active Media Technology.
Piscataway, NJ: IEEE, pp. 137–138.'
chicago: 'Röcker, Carsten, Victor Bayon, Maral Memisoglu, and Norbert Streitz. “Context-Dependent
Email Notification Using Ambient Displays and Mobile Devices.” In Proceedings
of the 2005 International Conference on Active Media Technology, edited by
H. Tarumi, Y. Li, and T. Yoshida, 137–38. Piscataway, NJ: IEEE, 2005. https://doi.org/10.1109/AMT.2005.1505288.'
chicago-de: 'Röcker, Carsten, Victor Bayon, Maral Memisoglu und Norbert Streitz.
2005. Context-Dependent Email Notification Using Ambient Displays and Mobile Devices.
In: Proceedings of the 2005 International Conference on Active Media Technology,
hg. von H. Tarumi, Y. Li, und T. Yoshida, 137–138. Piscataway, NJ: IEEE. doi:10.1109/AMT.2005.1505288,
.'
din1505-2-1: 'Röcker, Carsten ; Bayon, Victor ; Memisoglu,
Maral ; Streitz, Norbert:
Context-Dependent Email Notification Using Ambient Displays and Mobile Devices.
In: Tarumi, H. ; Li,
Y. ; Yoshida, T. (Hrsg.):
Proceedings of the 2005 International Conference on Active Media Technology.
Piscataway, NJ : IEEE, 2005, S. 137–138'
havard: 'C. Röcker, V. Bayon, M. Memisoglu, N. Streitz, Context-Dependent Email
Notification Using Ambient Displays and Mobile Devices, in: H. Tarumi, Y. Li,
T. Yoshida (Eds.), Proceedings of the 2005 International Conference on Active
Media Technology, IEEE, Piscataway, NJ, 2005: pp. 137–138.'
ieee: C. Röcker, V. Bayon, M. Memisoglu, and N. Streitz, “Context-Dependent Email
Notification Using Ambient Displays and Mobile Devices,” in Proceedings of
the 2005 International Conference on Active Media Technology, Takamatsu, Kagawa,
Japan, 2005, pp. 137–138.
mla: Röcker, Carsten, et al. “Context-Dependent Email Notification Using Ambient
Displays and Mobile Devices.” Proceedings of the 2005 International Conference
on Active Media Technology, edited by H. Tarumi et al., IEEE, 2005, pp. 137–38,
doi:10.1109/AMT.2005.1505288.
short: 'C. Röcker, V. Bayon, M. Memisoglu, N. Streitz, in: H. Tarumi, Y. Li, T.
Yoshida (Eds.), Proceedings of the 2005 International Conference on Active Media
Technology, IEEE, Piscataway, NJ, 2005, pp. 137–138.'
ufg: 'Röcker, Carsten et. al. (2005): Context-Dependent Email Notification
Using Ambient Displays and Mobile Devices, in: H. Tarumi et. al. (Hgg.): Proceedings
of the 2005 International Conference on Active Media Technology, Piscataway,
NJ, S. 137–138.'
van: 'Röcker C, Bayon V, Memisoglu M, Streitz N. Context-Dependent Email Notification
Using Ambient Displays and Mobile Devices. In: Tarumi H, Li Y, Yoshida T, editors. Proceedings
of the 2005 International Conference on Active Media Technology. Piscataway, NJ:
IEEE; 2005. p. 137–8.'
conference:
end_date: 2005-05-21
location: Takamatsu, Kagawa, Japan
name: International Conference on Active Media Technology (ATM 2005)
start_date: 2005-05-19
date_created: 2021-02-02T10:08:23Z
date_updated: 2023-03-15T13:49:56Z
department:
- _id: DEP5023
doi: 10.1109/AMT.2005.1505288
editor:
- first_name: H.
full_name: Tarumi, H.
last_name: Tarumi
- first_name: Y.
full_name: Li, Y.
last_name: Li
- first_name: T.
full_name: Yoshida, T.
last_name: Yoshida
extern: '1'
keyword:
- Displays
- Calendars
- Resumes
- Filtering
- Electronic mail
- Personal digital assistants
- Filters
- Books
- Data mining
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 137-138
place: Piscataway, NJ
publication: ' Proceedings of the 2005 International Conference on Active Media Technology'
publication_identifier:
isbn:
- 0-7803-9035-0
publication_status: published
publisher: IEEE
status: public
title: Context-Dependent Email Notification Using Ambient Displays and Mobile Devices
type: conference
user_id: '15514'
year: 2005
...