Data Science

Eichinger, T. and Winter, S. (2019). Regularly varying functions, generalized contents, and the spectrum of fractal strings [22]. Contemporary Mathematics. American Mathematical Society, 63-94.

Hatzinikolaou D., Katsarou K. (2019). An Account of Principal Components Analysis and Some Cautions on Using the Correct Formulas and the Correct Procedures in SPSS [23]. International Journal of Statistics & Applications. Scientific & Academic Publishing Company (in press).

Katsarou, K. and Shekhawat, D. S. (2019). CRD-SentEnse: Cross-domain Sentiment Analysis using an Ensemble Model [24]. Proceedings of The 11th International ACM Conference on Management of Digital EcoSystems(MEDES 2019). ACM (accepted for publication).

Eichinger, T. and Beierle, F. and Papke, R. and Rebscher, L. and Tran, H. and Trzeciak, M. (2019). On Gossip-based Information Dissemination in Pervasive Recommender Systems [25]. ACM RecSys 2019. ACM (in press).

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Zimmermann, J. and Pryss, R. (2019). What data are smartphone users willing to share with researchers? Designing and evaluating a privacy model for mobile data collection apps [26]. Journal of Ambient Intelligence and Humanized Computing. Springer.

Dinh Tuan, H. and Beierle, F. and Rodriguez Garzon, S. (2019). MAIA: A Microservices-based Architecture for Industrial Data Analytics [27]. IEEE International Conference on Industrial Cyber-Physical Systems (accepted for publication)

Lorbeer, B. and Deutsch, T. and Ruppel, P. and Küpper, A. (2019). Anomaly Detection with HMM Gauge Likelihood Analysis [28]. BDS2019 accepted for publication.

Eichinger, T. and Beierle, F. and Khan, S. U. and Middelanis, R. and Sekar, V. and Tabibzadeh, S. (2019). affinity: A System for Latent User Similarity Comparison on Texting Data [29]. IEEE-ICC (to appear)

Zielinski, E. and Schulz-Zander, J. and Ruckstuhl, H. and Artemenko, A. and Ramirez, A. and Zeiger, F. and Mormul, M. and Hetzelt, F. and Beierle, F. and Klaus, H. and Zimmermann, M. and Schellenberger, C. (2019). Secure Real-time Communication and Computing Infrastructure for Industry 4.0 – Challenges and Opportunities [30]. Proceedings 2019 Advanced Communication Networks for Industrial Applications (AIComNets). IEEE (to appear).

Victor, F. and Lüders, B. (2019). Measuring Ethereum-based ERC20 Token Networks [31]. International Conference on Financial Cryptography and Data Security, tbd.

Beierle, F. and Aizawa, A. and Collins, A. and Beel, J. (2019). Choice Overload and Recommendation Effectiveness in Related-Article Recommendations. Analyzing the Sowiport Digital Library [32]. International Journal on Digital Libraries. Springer.

Lüders, B. and Ruppel, P. (2018). Macroscopic Patterns in Sparse Location Data: Identifying Mobility Prototypes [33]. Proceedings of the 4th IEEE International Conference on Big Data Service and Applications (BigDataService 2018)

Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, D. and Ruppel, P. and Küpper, A. (2017). Variations on the Clustering Algorithm BIRCH [34]. Big Data Research. Elsevier.

Eichinger, T. (2017). The Corpus Replication Task [35]. Proceedings of the 2017 International Conference on Computational Science & Computational Intelligence

Deva, B. and Raschke, P and Rodriguez Garzon, S. and Küpper, A. (2017). STEAM: A Platform for Scalable Spatiotemporal Analytics [36]. 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017, 731-736.