| SQL & NoSQL Databases. Models, Languages, Consistency Options and Architectures for Big Data Management A Meier, M Kaufmann SQL & NoSQL Databases, 2019 | 271* | 2019 |
| SQL-& NoSQL-Datenbanken A Meier, M Kaufmann Springer Vieweg, 2016 | 94 | 2016 |
| Big data management canvas: a reference model for value creation from data M Kaufmann Big Data and Cognitive Computing 3 (1), 19, 2019 | 64 | 2019 |
| Inductive fuzzy classification in marketing analytics MA Kaufmann PhD Thesis, University of Fribourg, 2012 | 35 | 2012 |
| 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 | 31 | 2019 |
| 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 | 31 | 2009 |
| 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, ... Advanced Visual Interfaces. Supporting Big Data Applications: AVI 2016 …, 2016 | 27 | 2016 |
| IFC-Filter: Membership function generation for inductive fuzzy classification M Kaufmann, A Meier, K Stoffel Expert Systems with applications 42 (21), 8369-8379, 2015 | 23 | 2015 |
| Towards a reference model for big data management M Kaufmann | 22 | 2016 |
| 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 | 21 | 2012 |
| 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 | 19 | 2016 |
| 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 | 19 | 2015 |
| 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 | 17 | 2013 |
| Combining bottom-up and top-down generation of interactive knowledge maps for enterprise search M Kaufmann, G Wilke, E Portmann, K Hinkelmann Knowledge Science, Engineering and Management: 7th International Conference …, 2014 | 16 | 2014 |
| A fuzzy Web analytics model for Web mining D Zumstein, M Kaufmann Algarve, Portugal, 59, 2009 | 14 | 2009 |
| Concept Extraction with Convolutional Neural Networks A Waldis, LMM Kaufmann Proceedings of the 7th International Conference on Data Science, Technology …, 2018 | 13 | 2018 |
| Biomimetics in design-oriented information systems research M Kaufmann, E Portmann At the Vanguard of Design Science: First Impressions and Early Findings from …, 2015 | 12 | 2015 |
| Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications M Kaufmann, T Eljasik-Swoboda, C Nawroth, K Berwind, MBMH 2 Proceedings of the 6th International Conference on Data Science, Technology …, 2017 | 11 | 2017 |
| Fuzzy target groups in analytic customer relationship management M Kaufmann, C Graf Supply Chain Management: Concepts, Methodologies, Tools, and Applications …, 2013 | 11 | 2013 |
| Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means. MMJ Adnan, ML Hemmje, MA Kaufmann BIRDS+ WEPIR@ CHIIR, 40-51, 2021 | 10 | 2021 |
Matthias HemmjeProfessor of Computer Science, University of HagenVerified email at hemmje.de
