Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Applying Patterns during Business Process Modeling
BPM '08 Proceedings of the 6th International Conference on Business Process Management
The Refined Process Structure Tree
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Benchmarking cloud serving systems with YCSB
Proceedings of the 1st ACM symposium on Cloud computing
Similarity of business process models: Metrics and evaluation
Information Systems
A decade of business process management conferences: personal reflections on a developing discipline
BPM'12 Proceedings of the 10th international conference on Business Process Management
Approximate clone detection in repositories of business process models
BPM'12 Proceedings of the 10th international conference on Business Process Management
| Hi-index | 0.00 |
Big data opens a new dimension, space, to offer the advantage of gleaning intelligence from data and translating that into business benefits. It will lead to knowledge revolution in all sectors, including Business Process Management (BPM). This paper sheds light on key characteristics of intelligent BPM (iBPM) from an industrial point of view. A big data perspective on iBPM is then proposed, showing the challenges and potential opportunities in attempt to catalyze ideas from insight to application. China Mobile Communications Corporation's (CMCC) exploring and practice are provided, which also elicit the future research directions for enterprise applications.