Accepted Papers | DMS 2026 (WS#17)

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

Wenqi Guo, Yi Zuo, and Xinyu Li

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 Jasińska-Biliczak

S17203 Maritime Noise-Robust Whisper via Encoder Representation Consistency

Liao Bao, Tomoyuki Takenawa, and Yi Zuo

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

Hao Wang and Rei Tada

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

Hikaru Hashii and Eiji Motohashi

S17214 Response-Adjusted Moment Calibration for Budgeted Survey Allocation

Taiga Nishimura, Yuta Ota, Kazuki Tsuchiya, Shinya Suzumura, Nobuyuki Shimizu, and Takahiro Hoshino

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

S17216 Operational Fuel Sales Forecasting Under Heterogeneous Historical Data Availability

Bhavani Madhabhavi, Aravind Balachandran, Sharat Chidambaran, and Somenath Chatterjee

S17217 Knowledge Elicitation with Sparring Partner

Preetam Ghosh, Vaishali Sadaphal, Himani Bhamare, Rohan Hirekerur, and Abhijit Bhirud

S17223 Clinical Process Mining based on Petri-Nets

Shusaku Tsumoto

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

Baowen Xu, Xuelei Wang, and Song Gao

DM1185 In-Memory Association Rule Mining with Hierarchical Taxonomies

Anders Weber Christensen, Kevin Kinsella, and Panagiotis Karras