| 7:30 to 8:00 | Arrival Coffee |
| 8:00 to 8:10 | Opening Remarks |
| 8:10 to 9:00 | Invited Talk: Xiatian Zhang (TalkingData) Making Data Talk |
| 9:00 to 9:40 | Keynote: Bernhard Pfahringer Why Big Data miners should care about Stream Mining |
| 9:40 to 10:05 | R. Dutta: Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: I-EKbase System |
| 10:05 to 10:30 | Z. Razavi, T. Sellis and X. Zhang: Anytime Concurrent Clustering of Multiple Streams with an Indexing Tree |
| 10:30 to 11:00 | Morning Coffee Break |
| 11:00 to 11:40 | Keynote: Francesco Bonchi Learning the strength of social influence |
| 11:40 to 12:05 | R. Ormandi, H. Yang and Q. Lu: Scalable Multidimensional Hierarchical Bayesian Modeling on Spark |
| 12:05 to 12:30 | M. Hassani, P. Spaus, A. Cuzzocrea and T. Seidl: Adaptive Stream Clustering Using Incremental Graph Maintenance |
| 12:30 to 13:30 | Working Lunch |
| 13:30 to 14:10 | Keynote: Latifur Khan Stream Data Mining and Applications: A Big Data Perspective |
| 14:10 to 14:35 | X. Zhang, W. Fan and N. Du: Random Decision Hashing for Massive Data Learning |
| 14:35 to 15:00 | P. Ravindra, R. Gupta and K. Anyanwu: Shared Execution of Clustering Tasks |
| 15:00 to 15:30 | Afternoon Coffee Break |
| 15:30 to 16:10 | Keynote: Jingrui He Heterogeneous Learning: Algorithms and Applications |
| 16:10 to 16:50 | Peter Reutemann: Invited Open Source Demo ADAMS Joaquin Vanschoren: Invited Open Source Demo OpenML |
| 16:50 to 17:15 | Open Panel Discussion on Open Source Big Data Mining Tools |
| 17:15 to 17:55 | Keynote: Vincent S. Tseng In-Depth View of Some Key Challenges in Big Data Mining: Perspective from Practical Experiences | 17:55 to 18:00 | Concluding Remarks |