Michael Kaufmann

Orcid: 0000-0003-1437-0996

Affiliations:
  • Lucerne University of Applied Sciences and Arts, School of Engineering and Architecture, Horw, Switzerland
  • University of Fribourg, Department of Informatics


According to our database1, Michael Kaufmann authored at least 27 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
SQL and NoSQL Databases - Modeling, Languages, Security and Architectures for Big Data Management, Second Edition
Springer, ISBN: 978-3-031-27907-2, 2023

2022
Fuzzy Ethizität: Radar für ethische Künstliche Intelligenz.
HMD Prax. Wirtsch., 2022

2021
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python.
CoRR, 2021

Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means.
Proceedings of the Joint Proceedings of the Second Workshop on Bridging the Gap between Information Science, 2021

Implementing Efficient and Scalable In-Database Linear Regression in SQL.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019
Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer.
ISPRS Int. J. Geo Inf., 2019

Big Data Management Canvas: A Reference Model for Value Creation from Data.
Big Data Cogn. Comput., 2019

Word Embedding Based Extension of Text Categorization Topic Taxonomies.
Proceedings of the 5th Collaborative European Research Conference (CERC 2019), 2019

The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text.
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018
A Domain Specific ESA Inspired Approach for Document Semantic Description.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction.
Proceedings of the Data Management Technologies and Applications, 2018

Concept Extraction with Convolutional Neural Networks.
Proceedings of the 7th International Conference on Data Science, 2018

No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces.
Proceedings of the 7th International Conference on Data Science, 2018

2017
Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications.
Proceedings of the 6th International Conference on Data Science, 2017

Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Toward Cloud-based Classification and Annotation Support.
Proceedings of the CLOSER 2016, 2016

Toward Interactive Visualization of Results from Domain-Specific Text Analytics.
Proceedings of the Advanced Visual Interfaces. Supporting Big Data Applications, 2016

IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments.
Proceedings of the Advanced Visual Interfaces. Supporting Big Data Applications, 2016

2015
Fuzzylogik: Eine Revolution des Geistes - Ein Versuch über mögliche Ursachen der Kontroverse um die Zadehsche Logik.
Inform. Spektrum, 2015

IFC-Filter: Membership function generation for inductive fuzzy classification.
Expert Syst. Appl., 2015

Merging Bottom-Up and Top-Down Knowledge Graphs for Intuitive Knowledge Browsing.
Proceedings of the Flexible Query Answering Systems 2015, 2015

Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing.
Proceedings of the 1st International Conference on Cloud Forward: From Distributed to Complete Computing, 2015

2014
Die Geister die wir riefen.
HMD Prax. Wirtsch., 2014

Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search.
Proceedings of the Knowledge Science, Engineering and Management, 2014

2013
Induktive unscharfe Datenassoziierung - Fallstudie enersis suisse AG.
HMD Prax. Wirtsch., 2013

2012
A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval.
Proceedings of the 2012 international workshop on Web-scale knowledge representation, 2012


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