Michael Kaufmann
Michael Kaufmann
Professor, Hochschule Luzern – Informatik
Verified email at - Homepage
Cited by
Cited by
SQL & NoSQL Databases. Models, Languages, Consistency Options and Architectures for Big Data Management
A Meier, M Kaufmann
SQL & NoSQL Databases, 1-23, 2019
SQL-& NoSQL-Datenbanken
A Meier, M Kaufmann
Springer Vieweg, 2016
Big data management canvas: A reference model for value creation from data
M Kaufmann
Big Data and Cognitive Computing 3 (1), 19, 2019
IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments
MX Bornschlegl, K Berwind, M Kaufmann, FC Engel, P Walsh, ...
AVI Workshop on Big Data Applications, 1-18, 2016
Inductive fuzzy classification in marketing analytics
MA Kaufmann
PhD Thesis, University of Fribourg, 2012
An inductive fuzzy classification approach applied to individual marketing
M Kaufmann, A Meier
NAFIPS 2009-2009 Annual Meeting of the North American Fuzzy Information …, 2009
A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval
E Portmann, MA Kaufmann, C Graf
Proceedings of the 2012 international workshop on Web-scale knowledge …, 2012
IFC-Filter: Membership function generation for inductive fuzzy classification
M Kaufmann, A Meier, K Stoffel
Expert Systems with Applications 42 (21), 8369-8379, 2015
Towards a reference model for big data management
M Kaufmann
A concept of semantics extraction from web data by induction of fuzzy ontologies
MA Kaufmann, E Portmann, M Fathi
IEEE International Conference on Electro-Information Technology, EIT 2013, 1-6, 2013
Analysis of tourism hotspot behaviour based on geolocated travel blog data: The case of Qyer
M Kaufmann, P Siegfried, L Huck, J Stettler
ISPRS International Journal of Geo-Information 8 (11), 493, 2019
Towards cloud-based knowledge capturing based on natural language processing
C Nawroth, M Schmedding, H Brocks, M Kaufmann, M Fuchs, M Hemmje
Procedia Computer Science 68, 206-216, 2015
Combining bottom-up and top-down generation of interactive knowledge maps for enterprise search
M Kaufmann, G Wilke, E Portmann, K Hinkelmann
International Conference on Knowledge Science, Engineering and Management …, 2014
Biomimetics in design-oriented information systems research
M Kaufmann, E Portmann
At the Vanguard of Design Science: First Impressions and Early Findings from …, 2015
Towards a cross industry standard process to support big data applications in virtual research environments
K Berwind, M Bornschlegl, M Hemmje, M Kaufmann
CERC2016, 82, 2016
Fuzzy target groups in analytic customer relationship management
M Kaufmann, C Graf
Supply Chain Management: Concepts, Methodologies, Tools, and Applications …, 2013
Concept Extraction with Convolutional Neural Networks
A Waldis, LMM Kaufmann
Proceedings of the 7th International Conference on Data Science, Technology …, 2018
A fuzzy Web analytics model for Web mining
D Zumstein, M Kaufmann
Algarve, Portugal, 59, 2009
No Target Function Classifier
T Eljasik-Swoboda, M Kaufmann, M Hemmje
Proceedings of the 7th International Conference on Data Science, Technology …, 2018
Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling
A Denzler, M Kaufmann
2017 IEEE international conference on big data (Big Data), 923-928, 2017
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