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ORCIDMichael Kaufmann 0004
Person information
- affiliation: Lucerne University of Applied Sciences and Arts, School of Engineering and Architecture, Horw, Switzerland
- affiliation: University of Fribourg, Department of Informatics
Other persons with the same name
- Michael Kaufmann 0001
![[0000-0001-9186-3538]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9186-3538")
— Eberhard Karls University of Tübingen, Wilhelm Schickard Institute for Computer Science - Michael Kaufmann 0002 — Witten/Herdecke University, Department of Human Medicine, Witten, Germany
- Michael Kaufmann 0003 — Ernst-Abbe-Hochschule Jena, Germany
- Michael Kaufmann 0005 — IBM Research Zurich, Switzerland (and 1 more)
- Michael Kaufmann 0006 — University of Passau, Germany (and 1 more)
- Michael Kaufmann 0007 — Swiss Bank Corporation, IT-Camp Basel, Switzerland
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2020 – today
- 2024
[j8]Gabriel Stechschulte, Malte Wintner, Matthias L. Hemmje, Jürg Schwarz, Suzanne Lischer, Michael Kaufmann:
In-Database Feature Extraction to Improve Early Detection of Problematic Online Gambling Behavior. IEEE Trans. Comput. Soc. Syst. 11(5): 6868-6881 (2024)- 2023
- [b1]Michael Kaufmann, Andreas Meier:
SQL and NoSQL Databases - Modeling, Languages, Security and Architectures for Big Data Management, Second Edition. Springer 2023, ISBN 978-3-031-27907-2, pp. 1-254 - 2022
- [j7]Michael Kaufmann, Andreas Meier:
Fuzzy Ethizität: Radar für ethische Künstliche Intelligenz. HMD Prax. Wirtsch. 59(2): 538-555 (2022) - [i2]Michael Kaufmann:
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text. CoRR abs/2201.05327 (2022) - 2021
- [c18]Patrick Giesser, Gabriel Stechschulte, Anna da Costa Vaz, Michael Kaufmann:
Implementing Efficient and Scalable In-Database Linear Regression in SQL. IEEE BigData 2021: 5125-5132 - [c17]Md Morshed Jaman Adnan, Matthias L. Hemmje, Michael A. Kaufmann:
Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means. BIRDS+WEPIR@CHIIR 2021: 40-51 - [i1]Michael Kaufmann, Gabriel Stechschulte, Anna Huber:
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python. CoRR abs/2104.03224 (2021)
2010 – 2019
- 2019
- [j6]Michael Kaufmann:
Big Data Management Canvas: A Reference Model for Value Creation from Data. Big Data Cogn. Comput. 3(1): 19 (2019) - [j5]Michael Kaufmann, Patrick Siegfried, Lukas Huck, Jürg Stettler:
Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer. ISPRS Int. J. Geo Inf. 8(11): 493 (2019) - [c16]Michael Kaufmann:
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c15]Tobias Eljasik-Swoboda, Felix Engel, Michael Kaufmann, Matthias L. Hemmje:
Word Embedding Based Extension of Text Categorization Topic Taxonomies. CERC 2019: 15-26 - 2018
- [c14]Tobias Eljasik-Swoboda, Michael Kaufmann, Matthias L. Hemmje:
No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces. DATA 2018: 35-46 - [c13]Andreas Waldis, Luca Mazzola, Michael Kaufmann:
Concept Extraction with Convolutional Neural Networks. DATA 2018: 118-129 - [c12]Andreas Waldis, Luca Mazzola, Michael Kaufmann:
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. DATA (Revised Selected Papers) 2018: 160-188 - [c11]Luca Mazzola, Patrick Siegfried, Andreas Waldis, Michael Kaufmann, Alexander Denzler:
A Domain Specific ESA Inspired Approach for Document Semantic Description. IEEE Conf. on Intelligent Systems 2018: 383-390 - 2017
- [c10]Alexander Denzler, Michael Kaufmann:
Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling. IEEE BigData 2017: 923-928 - [c9]Michael Kaufmann, Tobias Eljasik-Swoboda, Christian Nawroth, Kevin Berwind, Marco X. Bornschlegl, Matthias L. Hemmje:
Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications. DATA 2017: 149-156 - 2016
- [c8]Marco X. Bornschlegl, Kevin Berwind, Michael Kaufmann, Felix C. Engel, Paul Walsh, Matthias L. Hemmje, Ruben Riestra:
IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments. BDA@AVI 2016: 1-18 - [c7]Tobias Swoboda, Christian Nawroth, Michael Kaufmann, Matthias L. Hemmje:
Toward Interactive Visualization of Results from Domain-Specific Text Analytics. BDA@AVI 2016: 75-87 - [c6]Tobias Swoboda, Michael A. Kaufmann, Matthias L. Hemmje:
Toward Cloud-based Classification and Annotation Support. CLOSER (2) 2016: 131-137 - [c5]Michael A. Kaufmann, Andreas Waldis, Patrick Siegfried, Gwendolin Wilke, Edy Portmann, Matthias L. Hemmje:
Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. KSEM 2016: 337-348 - 2015
- [j4]Michael A. Kaufmann, Andreas Meier, Kilian Stoffel:
IFC-Filter: Membership function generation for inductive fuzzy classification. Expert Syst. Appl. 42(21): 8369-8379 (2015) - [j3]Michael A. Kaufmann:
Fuzzylogik: Eine Revolution des Geistes - Ein Versuch über mögliche Ursachen der Kontroverse um die Zadehsche Logik. Inform. Spektrum 38(6): 476-483 (2015) - [c4]Christian Nawroth, Matthäus Schmedding, Holger Brocks, Michael A. Kaufmann, Michael Fuchs, Matthias L. Hemmje:
Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. Cloud Forward 2015: 206-216 - [c3]Gwendolin Wilke, Sandro Emmenegger, Jonas Lutz, Michael A. Kaufmann:
Merging Bottom-Up and Top-Down Knowledge Graphs for Intuitive Knowledge Browsing. FQAS 2015: 445-459 - 2014
- [j2]Michael A. Kaufmann:
Die Geister die wir riefen. HMD Prax. Wirtsch. 51(4): 383-385 (2014) - [c2]Michael A. Kaufmann, Gwendolin Wilke, Edy Portmann, Knut Hinkelmann:
Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search. KSEM 2014: 186-197 - 2013
- [j1]Michael A. Kaufmann, Thomas Koller, Daria Kurochkina, Kilian Stoffel:
Induktive unscharfe Datenassoziierung - Fallstudie enersis suisse AG. HMD Prax. Wirtsch. 293: 45-55 (2013) - 2012
- [c1]Edy Portmann, Michael Alexander Kaufmann, Cédric Graf:
A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval. Web-KRM@CIKM 2012: 1-8
Coauthor Index
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