Li liangyue (12 risultati)

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. 5th or later Edition. 543pp. Oversized, domestic shipping only. Dust jacket in protective mylar. Owner name on fly.

Condizione: New. 2020. Hardcover. . . . . .

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Brand New. 158 pages. 9.00x6.00x0.50 inches. In Stock.

Condizione: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.

Gebunden. Condizione: New. This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, .

Buch. Condizione: Neu. Neuware - Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common Is it possible to predict a team's performance before it starts work on a project How can productive team behavior be fostered This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.…

Hardcover. Condizione: new. Hardcover. Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends. This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, and explaining team performance, plus key applications, open challenges, and future trends. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…