Workshop Program | DMS 2026 (WS#17)

Session 1: Industrial Data & Predictive Analytics

Session Chair: TBA | 6 Papers (14 mins each: 11 mins talk + 3 mins Q&A)

15:54 – 16:08

[#S17201] Ship Fuel Consumption Prediction Based on LightGBM-LSTM Fusion Model

Wenqi Guo, Yi Zuo, and Xinyu Li
16:08 – 16:22

[#S17203] Maritime Noise-Robust Whisper via Encoder Representation Consistency

Liao Bao, Tomoyuki Takenawa, and Yi Zuo
16:22 – 16:36

[#S17216] Operational Fuel Sales Forecasting Under Heterogeneous Historical Data Availability

Bhavani Madhabhavi, Aravind Balachandran, Sharat Chidambaran, and Somenath Chatterjee
16:36 – 16:50

[#DM1083] Vision-Language Models for Meteorological Services: A High-Quality Data-Centric Approach

Baowen Xu, Xuelei Wang, and Song Gao
16:50 – 17:04

[#S17212] Machine Learning Prediction of Vacant House Prices Using Geospatial and Regional Features

Hikaru Hashii and Eiji Motohashi
17:04 – 17:18

[#S17202] Mining SME Innovation Profiles through Self-Organizing Maps: A Three-Year Study of Service and Industrial Firms

Adam Kiersztyn, Krystyna Kiersztyn, Kacper Romaniuk, Agnieszka Rzepka, and Anna Jasi$0144ska-Biliczak

Session Chair: TBA | 6 Papers (14 mins each: 11 mins talk + 3 mins Q&A)

17:28 – 17:42

[#S17204] How Short-Form Videos Shape Consumer Responses under Uncertainty in Marketing

Hao Wang and Rei Tada
17:42 – 17:56

[#S17215] Predicting User Preferences with User Representations Pretrained from Large-Scale Retail Purchase Histories

Takumu Watanabe, Yuta Sawada, Suguru Takata, Koki Nagatani, Ryoichi Miura, Shun Ito, and Emiko Nakagishi
17:56 – 18:10

[#S17214] Response-Adjusted Moment Calibration for Budgeted Survey Allocation

Taiga Nishimura, Yuta Ota, Kazuki Tsuchiya, Shinya Suzumura, Nobuyuki Shimizu, and Takahiro Hoshino
18:10 – 18:24

[#S17217] Knowledge Elicitation with Sparring Partner

Preetam Ghosh, Vaishali Sadaphal, Himani Bhamare, Rohan Hirekerur, and Abhijit Bhirud
18:24 – 18:38

[#DM1185] In-Memory Association Rule Mining with Hierarchical Taxonomies

Anders Weber Christensen, Kevin Kinsella, and Panagiotis Karras
18:38 – 18:48

[#S17223] Clinical Process Mining based on Petri-Nets

Shusaku Tsumoto