Data Science and Machine Learning to Support Business Decisions

Archetype Discovery from Taxonomies: A Method to Cluster Small Datasets of Categorical Data

Lars Lenssen, TU Dortmund
Philip Stahmann, TU Dortmund
Christian Janiesch, TU Dortmund
Erich Schubert, TU Dortmund

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Beyond the Bell: Leveraging Off-market Data for AI-enabled Stock Directionality Forecast

Himadri Mukherjee, AILABS
Suchismita Das, AILABS
Kaustav Bose, AILABS
Kundan Kumar, AILABS
Souren Paul, Northern Kentucky University
Alo Ghosh, AILABS

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Enhancing Remaining Time Prediction in Business Processes through Graph Embedding

Thais Rodrigues Neubauer, Universidade de Sao Paulo
Jari Peeperkorn, KU Leuven
Jochen De Weerdt, KU Leuven
Marcelo Fantinato, University of São Paulo
Sarajane Marques Peres, University of São Paulo

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Inside the Driver’s Mind: Mapping Customers’ Usage Behavior of Advanced Driving Assistance Systems

Christian Micus, Technical University of Munich
Gouthaman Ramalingam, BMW Group Asia
Benedikt Steiner, BMW Group
Timo Böttcher, Technical University of Munich

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Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions

Behrooz Davazdahemami, University of Wisconsin-Whitewater
Hamed Zolbanin, University of Dayton
Dursun Delen, Oklahoma State University

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LLM-based Textualization from Illustrated Path Diagram

Ryosuke Saga, Osaka Metropolitan University
Songyi Liu, Osaka Metropolitan University

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Towards Operational Excellence in Data Science: Designing a Process Guidance System to Support Data Science Process Execution

Stefan Rösl, OTH Amberg-Weiden
Thomas Auer, Technical University of Applied Sciences Amberg-Weiden
Christian Schieder, University of Applied Sciences Amberg-Weiden

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Vehicle Type Recognition Based on Audio Data

Dariusz Kobiela, Gdańsk University of Technology
Michał Hajdasz, Gdańsk University of Technology
Mateusz Erezman, Gdańsk University of Technology
Karolina Nurzyńska, Silesian University of Technology
Szymon Zaporowski, Gdańsk University of Technology
Adam Kurowski, Gdańsk University of Technology
Paweł Weichbroth, Gdańsk University of Technology

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