TY - GEN
T1 - Uncovering teamwork in networks - Prediction, optimization and explanation
AU - Li, Liangyue
AU - Tong, Hanghang
N1 - Publisher Copyright:
© 2017 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85044089507&partnerID=8YFLogxK
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
AN - SCOPUS:85044089507
T3 - IEEE International Conference on Data Mining Workshops, ICDMW
SP - 1132
EP - 1133
BT - Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
A2 - Gottumukkala, Raju
A2 - Karypis, George
A2 - Raghavan, Vijay
A2 - Wu, Xindong
A2 - Miele, Lucio
A2 - Aluru, Srinivas
A2 - Ning, Xia
A2 - Dong, Guozhu
PB - IEEE Computer Society
T2 - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
Y2 - 18 November 2017 through 21 November 2017
ER -