Jianwu Wang
Title
Cited by
Cited by
Year
Machine learning on big data: Opportunities and challenges
L Zhou, S Pan, J Wang, AV Vasilakos
Neurocomputing 237, 350-361, 2017
3242017
Kepler+ Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
J Wang, D Crawl, I Altintas
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale†…, 2009
1672009
Pattern based property specification and verification for service composition
J Yu, TP Manh, J Han, Y Jin, Y Han, J Wang
International Conference on Web Information Systems Engineering, 156-168, 2006
1332006
Smart manufacturing
J Davis, T Edgar, R Graybill, P Korambath, B Schott, D Swink, J Wang, ...
Annual review of chemical and biomolecular engineering 6, 141-160, 2015
1182015
Big data provenance: Challenges, state of the art and opportunities
J Wang, D Crawl, S Purawat, M Nguyen, I Altintas
2015 IEEE International Conference on Big Data (Big Data), 2509-2516, 2015
692015
Workflow as a service in the cloud: architecture and scheduling algorithms
J Wang, P Korambath, I Altintas, J Davis, D Crawl
Procedia computer science 29, 546-556, 2014
632014
CAFISE: An approach to enabling adaptive configuration of service grid applications
YB Han, ZF Zhao, G Li, DS Xing, QZ Lv, JW Wang, JH Xiong, H Liu
Journal of Computer Science and Technology 18 (4), 484, 2003
552003
Provenance for mapreduce-based data-intensive workflows
D Crawl, J Wang, I Altintas
Proceedings of the 6th Workshop on Workflows in Support of Large-scale†…, 2011
522011
Cloud computing in e-Science: research challenges and opportunities
X Yang, D Wallom, S Waddington, J Wang, A Shaon, B Matthews, ...
The Journal of Supercomputing 70 (1), 408-464, 2014
462014
Deploying kepler workflows as services on a cloud infrastructure for smart manufacturing
P Korambath, J Wang, A Kumar, L Hochstein, B Schott, R Graybill, ...
Procedia Computer Science 29, 2254-2259, 2014
432014
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data
I Altintas, J Wang, D Crawl, W Li
Proceedings of the 2012 Joint EDBT/ICDT Workshops, 73-78, 2012
372012
Big data applications using workflows for data parallel computing
J Wang, D Crawl, I Altintas, W Li
Computing in Science & Engineering 16 (4), 11-21, 2014
352014
Early cloud experiences with the kepler scientific workflow system
J Wang, I Altintas
Procedia Computer Science 9, 1630-1634, 2012
332012
A scalable data science workflow approach for big data bayesian network learning
J Wang, Y Tang, M Nguyen, I Altintas
2014 IEEE/ACM International Symposium on Big Data Computing, 16-25, 2014
322014
A smart manufacturing use case: Furnace temperature balancing in steam methane reforming process via kepler workflows
P Korambath, J Wang, A Kumar, J Davis, R Graybill, B Schott, M Baldea
Procedia Computer Science 80, 680-689, 2016
272016
A service modeling approach with business-level reusability and extensibility
J Wang, J Yu, Y Han
IEEE International Workshop on Service-Oriented System Engineering (SOSE'05†…, 2005
262005
A service virtualization mechanism for business user programming
ZF Zhao, YB Han, J Yu, JW Wang
Journal of Computer Research and Development 41 (12), 2224-2230, 2004
262004
A framework for distributed data-parallel execution in the Kepler scientific workflow system
J Wang, D Crawl, I Altintas
Procedia Computer Science 9, 1620-1629, 2012
242012
Comparison of distributed data-parallelization patterns for big data analysis: A bioinformatics case study
J Wang, D Crawl, I Altintas, K Tzoumas, V Markl
Proceedings of the Fourth International Workshop on Data Intensive Computing†…, 2013
232013
A hybrid learning framework for imbalanced stream classification
W Zhang, J Wang
2017 IEEE International Congress on Big Data (BigData Congress), 480-487, 2017
212017
The system can't perform the operation now. Try again later.
Articles 1–20