Heiner Stuckenschmidt

University of Mannheim - Data and Web Science Group

L 5, 2 - 2. OG

68161 Mannheim

Germany

  • University of Mannheim - Data and Web Science Group

SCHOLARLY PAPERS

11

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13

Scholarly Papers (11)

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1.

Data-driven Inventory Management under Customer Substitution

Number of pages: 29 Posted: 02 Jul 2020
Sebastian Müller, Jakob Huber, Moritz Fleischmann and Heiner Stuckenschmidt
University of Mannheim, Business School, University of Mannheim - Data and Web Science Group, University of Mannheim, Business School and University of Mannheim - Data and Web Science Group
Downloads 811 (65,642)
Citation 1

Abstract:

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inventory, multi-product, substitution, machine learning

2.

A Data-Driven Newsvendor Problem: From Data to Decision

Number of pages: 34 Posted: 26 Dec 2017 Last Revised: 03 Jul 2019
Jakob Huber, Sebastian Müller, Moritz Fleischmann and Heiner Stuckenschmidt
University of Mannheim - Data and Web Science Group, University of Mannheim, Business School, University of Mannheim, Business School and University of Mannheim - Data and Web Science Group
Downloads 500 (121,575)
Citation 2

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inventory, newsvendor, retail, machine learning, quantile regression

3.

Causal Effects of Linguistic Uncertainty on Risk Perception and Investment Behavior

Number of pages: 53 Posted: 20 Jan 2022
Kilian Theil, Jens Daube and Heiner Stuckenschmidt
University of Mannheim, d-fine GmbH and University of Mannheim - Data and Web Science Group
Downloads 236 (276,230)

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linguistic uncertainty, risk perception, financial disclosures

4.

The State of Artificial Intelligence: Procurement versus Sales and Marketing

Number of pages: 20 Posted: 27 Dec 2022
Jan Martin Spreitzenbarth, Heiner Stuckenschmidt and Christoph Bode
University of Mannheim - Business School, University of Mannheim - Data and Web Science Group and University of Mannheim - Business School
Downloads 175 (365,242)

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5.

Automatic Acquisition of Class Disjointness

Number of pages: 20 Posted: 24 Jun 2018
Johanna Völker, Daniel Fleischhacker and Heiner Stuckenschmidt
University of Mannheim - Data and Web Science Group, University of Mannheim - Data and Web Science Group and University of Mannheim - Data and Web Science Group
Downloads 133 (459,203)

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ontology learning, disjointness, machine learning, association rule mining, semantic web, linked data

6.

IPSERA ONLINE 2021 Track on Purchasing and Supply: Big Data and Analytics Methods of artificial intelligence in procurement: A conceptual literature review

30th International Purchasing & Supply Education & Research Association (IPSERA) Conference
Number of pages: 32 Posted: 14 Dec 2022
Jan Martin Spreitzenbarth, Heiner Stuckenschmidt and Christoph Bode
University of Mannheim - Business School, University of Mannheim - Data and Web Science Group and University of Mannheim - Business School
Downloads 97 (581,426)

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Artificial intelligence, machine learning, procurement, literature review

7.

Designing an AI-Enabled Bundling Generator in an Automotive Case Study

56th Hawaii International Conference on System Sciences
Number of pages: 10 Posted: 14 Dec 2022 Last Revised: 01 Feb 2023
Jan Martin Spreitzenbarth, Heiner Stuckenschmidt and Christoph Bode
University of Mannheim - Business School, University of Mannheim - Data and Web Science Group and University of Mannheim - Business School
Downloads 95 (589,374)

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Artificial intelligence, purchasing-marketing interface, procurement, B2B marketing, bundling problem

8.

Learning Domain Ontologies for Semantic Web Service Descriptions

Number of pages: 40 Posted: 06 Jul 2018
Marta Sabou, Chris Wroe, Carole Goble and Heiner Stuckenschmidt
Vienna University of Technology, The University of Manchester - Department of Computer Science, The University of Manchester - School of Computer Science and University of Mannheim - Data and Web Science Group
Downloads 62 (751,260)

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ontology learning, semantic Web services, ontology learning evaluation

9.

MultiFarm: A Benchmark for Multilingual Ontology Matching

Number of pages: 9 Posted: 07 Jul 2018
Christian Meilicke, Raúl García-Castro, Fred Freitas, Willem Robert van Hage, Elena Montiel-Ponsoda, Ryan Ribeiro Azevedo, Heiner Stuckenschmidt, Ondřej Zamazal, Vojtech Svatek, Andrei Tamilin, Cassia Trojahn and Shenghui Wang
University of Mannheim, Universidad Politécnica de Madrid, Universidade Federal de Pernambuco (UFPE), VU University Amsterdam - Web & Media Group, Universidad Politécnica de Madrid - Ontology Engineering Group, Universidade Federal de Pernambuco (UFPE), University of Mannheim - Data and Web Science Group, University of Economics, Prague - Department of Information and Knowledge Engineering, University of Economics, Prague - Department of Information and Knowledge Engineering, Fondazione Bruno Kessler, Institut National de Recherche en Informatique et Automatique (INRIA) - Grenoble - Rhône-Alpes and VU University Amsterdam
Downloads 48 (850,288)

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Ontology Matching, Benchmarking, Multilingualism, Data Integration

10.

Contextualizing Ontologies

Number of pages: 24 Posted: 24 Jun 2018
Paolo Bouquet, Fausto Giunchiglia, Frank van Harmelen, Luciano Serafini and Heiner Stuckenschmidt
University of Trento - ITC-IRST, University of Trento - Department of Information Engineering and Computer Science (DISI), VU University Amsterdam - Department of Artificial Intelligence, Fondazione Bruno Kessler and University of Mannheim - Data and Web Science Group
Downloads 42 (901,558)
Citation 10

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11.

A Review on Unsupervised Learning Algorithms and Applications in Supply Chain Management

MIT Center for Transportation & Logistics Research Paper No. 2024/036, International Journal of Production Research, volume 63, issue 5, 2025[10.1080/00207543.2024.2390968]
Benjamin Rolf, Alexander Beier, Ilya Jackson, Marcel Müller, Tobias Reggelin, Heiner Stuckenschmidt and Sebastian Lang
affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Mannheim - Data and Web Science Group and affiliation not provided to SSRN

Abstract:

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clustering, Industry, innovation and infrastructure, literature review