Abstract
The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 |
| Publisher | IEEE Computer Society |
| Pages | 1132-1133 |
| Number of pages | 2 |
| Volume | 2017-November |
| ISBN (Electronic) | 9781538614808 |
| DOIs | |
| State | Published - Dec 15 2017 |
| Event | 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 - New Orleans, United States Duration: Nov 18 2017 → Nov 21 2017 |
Other
| Other | 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 |
|---|---|
| Country | United States |
| City | New Orleans |
| Period | 11/18/17 → 11/21/17 |
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Keywords
- Team performance explanation
- Team performance optimization
- Team performance prediction
ASJC Scopus subject areas
- Computer Science Applications
- Software
Cite this
Uncovering teamwork in networks - Prediction, optimization and explanation. / Li, Liangyue; Tong, Hanghang.
Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Vol. 2017-November IEEE Computer Society, 2017. p. 1132-1133.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Uncovering teamwork in networks - Prediction, optimization and explanation
AU - Li, Liangyue
AU - Tong, Hanghang
PY - 2017/12/15
Y1 - 2017/12/15
N2 - The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.
AB - The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.
KW - Team performance explanation
KW - Team performance optimization
KW - Team performance prediction
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UR - http://www.scopus.com/inward/citedby.url?scp=85044089507&partnerID=8YFLogxK
U2 - 10.1109/ICDMW.2017.160
DO - 10.1109/ICDMW.2017.160
M3 - Conference contribution
VL - 2017-November
SP - 1132
EP - 1133
BT - Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
PB - IEEE Computer Society
ER -