Michael Kaufmann

18 papers C 3Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
In-Database Feature Extraction to Improve Early Detection of Problematic Online Gambling Behavior.
IEEE Trans. Comput. Soc. Syst.
Gabriel Stechschulte, Malte Wintner, Matthias L. Hemmje, Jürg Schwarz, Suzanne Lischer, Michael Kaufmann
2023 — book
SQL and NoSQL Databases - Modeling, Languages, Security and Architectures for Big Data Management, Second Edition
Michael Kaufmann, Andreas Meier
2022 J jnl
Fuzzy Ethizität: Radar für ethische Künstliche Intelligenz.
HMD Prax. Wirtsch.
Michael Kaufmann, Andreas Meier
2022 J jnl
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text.
CoRR
Michael Kaufmann
2021 J jnl
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python.
CoRR
Michael Kaufmann, Gabriel Stechschulte, Anna Huber
2021 — conf
Implementing Efficient and Scalable In-Database Linear Regression in SQL.
IEEE BigData
Patrick Giesser, Gabriel Stechschulte, Anna da Costa Vaz, Michael Kaufmann
2019 J jnl
Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer.
ISPRS Int. J. Geo Inf.
Michael Kaufmann, Patrick Siegfried, Lukas Huck, Jürg Stettler
2019 J jnl
Big Data Management Canvas: A Reference Model for Value Creation from Data.
Big Data Cogn. Comput.
Michael Kaufmann
2019 — conf
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text.
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering
Michael Kaufmann
2019 — conf
Word Embedding Based Extension of Text Categorization Topic Taxonomies.
CERC
Tobias Eljasik-Swoboda, Felix Engel, Michael Kaufmann, Matthias L. Hemmje
2018 — conf
A Domain Specific ESA Inspired Approach for Document Semantic Description.
IEEE Conf. on Intelligent Systems
Luca Mazzola, Patrick Siegfried, Andreas Waldis, Michael Kaufmann, Alexander Denzler
2018 C conf
Concept Extraction with Convolutional Neural Networks.
DATA
Andreas Waldis, Luca Mazzola, Michael Kaufmann
2018 — conf
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction.
DATA (Revised Selected Papers)
Andreas Waldis, Luca Mazzola, Michael Kaufmann
2018 C conf
No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces.
DATA
Tobias Eljasik-Swoboda, Michael Kaufmann, Matthias L. Hemmje
2017 C conf
Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications.
DATA
Michael Kaufmann, Tobias Eljasik-Swoboda, Christian Nawroth, Kevin Berwind, Marco X. Bornschlegl, Matthias L. Hemmje
2017 — conf
Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling.
IEEE BigData
Alexander Denzler, Michael Kaufmann
2016 — conf
IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments.
BDA@AVI
Marco X. Bornschlegl, Kevin Berwind, Michael Kaufmann, Felix C. Engel, Paul Walsh, Matthias L. Hemmje, Ruben Riestra
2016 — conf
Toward Interactive Visualization of Results from Domain-Specific Text Analytics.
BDA@AVI
Tobias Swoboda, Christian Nawroth, Michael Kaufmann, Matthias L. Hemmje