Dr. Lena Wiese

Staff Status
unigoe
 

1-11 of 11
 
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  • 2015 Monograph
    ​ ​Wiese, L. (2015). Advanced Data Management: ​For SQL, NoSQL, Cloud and Distributed Databases​​. ​​De Gruyter. doi: https://doi.org/10.1515/9783110441413 
    Details  DOI 
  • 2017 Journal Article
    ​ ​Wiese, L., Waage, T. & Bollwein, F. (2017). ​A Replication Scheme for Multiple Fragmentations with Overlapping Fragments. The Computer Journal60(3), ​308​-328​. ​doi: https://doi.org/10.1093/comjnl/bxw041 
    Details  DOI  WoS 
  • 2018 Journal Article
    ​ ​Wiese, I., Sarna, N., Wiese, L., Tashkandi, A. & Sax, U. (2018). ​Concept acquisition and improved in-database similarity analysis for medical data. Distributed and Parallel Databases37(2), ​297​-321​. ​doi: https://doi.org/10.1007/s10619-018-7249-x 
    Details  DOI 
  • 2018 Journal Article
    ​ ​Tashkandi, A., Wiese, I. & Wiese, L. (2018). ​Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems. Big Data Research13, ​52​-64​. ​doi: https://doi.org/10.1016/j.bdr.2018.05.001 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​Wiese, L., Homann, D., Waage, T. & Brenner, M. (2018). ​Homomorphe Verschlüsselung für Cloud-Datenbanken: Übersicht und Anforderungsanalyse. Sicherheit 2018 ​(pp. 207​-220​). ​doi: https://doi.org/10.18420/sicherheit2018_17 
    Details  DOI 
  • 2018 Lecture
    ​ ​Wiese, L., Wangmo, C., Steuernagel, L., Schmitt, A. O. &, Gültas, M. (2018). ​Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database​​. 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Biskup, J., Dahn, C., Diekmann, K., Menzel, R., Schalge, D. & Wiese, L. (2019). ​Publishing inference–proof relational data: An implementation and experiments. Data & knowledge engineering120, ​1​-44​. ​doi: https://doi.org/10.1016/j.datak.2018.11.001 
    Details  DOI 
  • 2019 Conference Paper
    ​ ​Tashkandi, A. & Wiese, L. (2019). ​A Hybrid Machine Learning Approach for Improving Mortality Risk Prediction on Imbalanced Data.​Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Service  (pp. 83​. doi: https://doi.org/10.1145/3366030.3366040 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Bahra, G. & Wiese, L. (2019). ​Parameterizing neural networks for disease classification. Expert Systems37(1), Article e12465​. ​doi: https://doi.org/10.1111/exsy.12465 
    Details  DOI 
  • 2019 Conference Paper | 
    ​ ​Doan, T., Bingert, S., Wiese, L. & Yahyapour, R. (2019). ​A Graph Database for Persistent Identifiers.​ In R. Jäschke, M. Weidlich​ (Eds.), Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen"  (pp. 1​. doi: https://doi.org/10.15488/9817 
    Details  DOI 
  • 2020 Journal Article
    ​ ​Wiese, L., Waage, T. & Brenner, M. (2020). ​CloudDBGuard: A framework for encrypted data storage in NoSQL wide column stores. Data & knowledge engineering126, ​101732​. ​doi: https://doi.org/10.1016/j.datak.2019.101732 
    Details  DOI 

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