Program
The workshop is held on 11th April.
IMPORTANT: The time is
according to Indian Standard Time (IST), UTC+5:30
| Time | Title |
| 8:30 | Opening of the workshop (PDF) |
| 8:45 | Keynote Talk: Approximate
Computing for Big Data Analysis Distinguished Prof. Joshua Zhexue Huang  |
| 9:45 |
Paper #2 An Algorithm for Mining Fixed-Length
High Utility Itemsets (PDF) Le Wang |
| 10:05 |
Paper #3 A
Novel Method to Create Synthetic Samples with
Autoencoder Multi-layer Extreme Learning Machine (PDF) Qihang Huang, Yulin He, Shengsheng Xu and Joshua Zhexue Huang |
| 10:25 |
Paper #4 Pattern
Mining: Current Challenges and Opportunities (PDF) Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Mourad Nouioua, Wei Song, Tin Truong and Hai Duong Van |
| 10:45 |
Paper #7 Why
not to Trust Big Data: Identifying Existence of
Simpson’s Paradox (PDF) Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Mahtab Shahin, Ankit Vidhyarthi and Dirk Draheim |
| 11:05 |
Paper #8 Localized
Metric Learning for Large Multi-Class Extremely
Imbalanced Face Database (PDF)
(best paper award) Seba Susan and Ashu Kaushik |
| 11:25 |
Paper #9 Top-k
dominating queries on incremental datasets Jimmy Ming-Tai Wu, Ke Wang and Jerry Chun-Wei Lin |
| 11:45 | Closing of the workshop |
