( en | de | ru )

 

Disambiguation of "Zhang, Chengqi"

Author of the publication

copydeleteadd this publication to your clipboard
An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection.

, , and . ECSA, volume 6285 of Lecture Notes in Computer Science, page 8-23. Springer, (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Xianghong Zhang

Miao Zhang

Wei Zhang

 

Other publications of authors with the same name

Discovering Debtor Patterns of Centrelink Customers., , , , , and . AusDM, volume 61 of CRPIT, page 135-144. Australian Computer Society, (2006)Mining Impact-Targeted Activity Patterns in Imbalanced Data., , and . IEEE Trans. Knowl. Data Eng., 20 (8): 1053-1066 (2008)Combined Association Rule Mining., , , and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 1069-1074. Springer, (2008)Debt Detection in Social Security by Adaptive Sequence Classification., , , , , and . KSEM, volume 5914 of Lecture Notes in Computer Science, page 192-203. Springer, (2009)Any-Cost Discovery: Learning Optimal Classification Rules., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 123-132. Springer, (2005)Evolutionary Optimization of Trading Strategies., , and . DMBiz@PAKDD, volume 177 of Frontiers in Artificial Intelligence and Applications, page 11-24. IOS Press, (2007)Adversarially Regularized Graph Autoencoder., , , , , and . CoRR, (2018)Shared dynamics learning for large-scale traveling salesman problem., , , , , and . Adv. Eng. Informatics, (April 2023)A Probability Data Model and its Semantics., and . J. Res. Pract. Inf. Technol., 35 (4): 237-256 (2003)Support vector machines based on K-means clustering for real-time business intelligence systems., , and . Int. J. Bus. Intell. Data Min., 1 (1): 54-64 (2005)