Dr. Lena Wiese

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exunigoe
 

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  • 2021 Conference Paper
    ​ ​A Comparison of Two Database Partitioning Approaches that Support Taxonomy-Based Query Answering​
    Schäfer, J. M. & Wiese, L. ​ (2021)
    pp. 426​-435. ​iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services​, Chiang Mai Thailand.
    New York, NY, USA​: ACM. DOI: https://doi.org/10.1145/3428757.3429108 
    Details  DOI 
  • 2020 Journal Article
    ​ ​CloudDBGuard: A framework for encrypted data storage in NoSQL wide column stores​
    Wiese, L. ; Waage, T. & Brenner, M.​ (2020) 
    Data & knowledge engineering126 pp. 101732​.​ DOI: https://doi.org/10.1016/j.datak.2019.101732 
    Details  DOI 
  • 2020 Conference Paper
    ​ ​Benchmarking a distributed database design that supports patient cohort identification​
    Schäfer, J. M.; Sax, U.   & Wiese, L. ​ (2020)
    pp. 1​-8. ​IDEAS 2020: 24th International Database Engineering & Applications Symposium​, Seoul Republic of Korea.
    New York, NY, USA​: ACM. DOI: https://doi.org/10.1145/3410566.3410608 
    Details  DOI 
  • 2019 Conference Paper
    ​ ​A Hybrid Machine Learning Approach for Improving Mortality Risk Prediction on Imbalanced Data​
    Tashkandi, A. & Wiese, L. ​ (2019)
    ​Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Service pp. 83​-92. ​iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services​, München. DOI: https://doi.org/10.1145/3366030.3366040 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Publishing inference–proof relational data: An implementation and experiments​
    Biskup, J.; Dahn, C.; Diekmann, K.; Menzel, R.; Schalge, D. & Wiese, L. ​ (2019) 
    Data & knowledge engineering120 pp. 1​-44​.​ DOI: https://doi.org/10.1016/j.datak.2018.11.001 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Parameterizing neural networks for disease classification​
    Bahra, G. & Wiese, L. ​ (2019) 
    Expert Systems37(1) art. e12465​.​ DOI: https://doi.org/10.1111/exsy.12465 
    Details  DOI 
  • 2019 Conference Paper
    ​ ​UniAdapt​
    Al-Ghezi, A. & Wiese, L. ​ (2019)
    pp. 1​-6. ​SIGMOD/PODS '19: International Conference on Management of Data​, Amsterdam Netherlands.
    New York, NY, USA​: ACM. DOI: https://doi.org/10.1145/3323878.3325803 
    Details  DOI 
  • 2019 Book Chapter
    ​ ​Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database​
    Wiese, L. ; Wangmo, C.; Steuernagel, L.; Schmitt, A.  & Gültas, M.​ (2019)
    In:​Auer, Sören; Vidal, Maria-Esther​ (Eds.), Data Integration in the Life Sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings pp. 33​-43. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-06016-9_3 
    Details  DOI 
  • 2019 Conference Paper | 
    ​ ​A Graph Database for Persistent Identifiers​
    Doan, T.; Bingert, S. ; Wiese, L.   & Yahyapour, R. ​ (2019)
    In:Jäschke, Robert; Weidlich, Matthias​ (Eds.), ​Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" pp. 1​-5. ​LWDA 2019​, Berlin. DOI: https://doi.org/10.15488/9817 
    Details  DOI 
  • 2018 Journal Article
    ​ ​Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems​
    Tashkandi, A.; Wiese, I. & Wiese, L. ​ (2018) 
    Big Data Research13 pp. 52​-64​.​ DOI: https://doi.org/10.1016/j.bdr.2018.05.001 
    Details  DOI 
  • 2018 Lecture
    ​ ​Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database​
    Wiese, L. ; Wangmo, C.; Steuernagel, L.; Schmitt, A. O.  & Gültas, M.​ (2018)
    Data Integration in the Life Sciences (DILS2018); 2018​, Hannover. DOI: https://doi.org/10.5446/38888 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​Homomorphe Verschlüsselung für Cloud-Datenbanken: Übersicht und Anforderungsanalyse​
    Wiese, L. ; Homann, D.; Waage, T.& Brenner, M.​ (2018)
    In: Sicherheit 2018 pp. 207​-220.  DOI: https://doi.org/10.18420/sicherheit2018_17 
    Details  DOI 
  • 2018 Journal Article
    ​ ​Concept acquisition and improved in-database similarity analysis for medical data​
    Wiese, I.; Sarna, N.; Wiese, L. ; Tashkandi, A. & Sax, U. ​ (2018) 
    Distributed and Parallel Databases37(2) pp. 297​-321​.​ DOI: https://doi.org/10.1007/s10619-018-7249-x 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​Keeping Secrets by Separation of Duties While Minimizing the Amount of Cloud Servers​
    Bollwein, F.  & Wiese, L. ​ (2018)
    In:​Hameurlain, Abdelkader; Wagner, Roland​ (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII pp. 1​-40. ​Berlin, Heidelberg: ​Springer Berlin Heidelberg. DOI: https://doi.org/10.1007/978-3-662-57932-9_1 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​Space-Adaptive and Workload-Aware Replication and Partitioning for Distributed RDF Triple Stores​
    Al-Ghezi, A.& Wiese, L. ​ (2018)
    In:​Elloumi, Mourad; Granitzer, Michael; Hameurlain, Abdelkader; Seifert, Christin; Stein, Benno; Tjoa, A Min; Wagner, Roland​ (Eds.), Database and Expert Systems Applications : DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings pp. 65​-75. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-99133-7_5 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​Classifying Leukemia and Gout Patients with Neural Networks​
    Bahra, G.& Wiese, L. ​ (2018)
    In:​Elloumi, Mourad; Granitzer, Michael; Hameurlain, Abdelkader; Seifert, Christin; Stein, Benno; Tjoa, A Min; Wagner, Roland​ (Eds.), Database and Expert Systems Applications : DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings pp. 150​-160. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-99133-7_12 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​On the Hardness of Separation of Duties Problems for Cloud Databases​
    Bollwein, F.  & Wiese, L. ​ (2018)
    In:​Furnell, Steven; Mouratidis, Haralambos; Pernul, Günther​ (Eds.), Trust, Privacy and Security in Digital Business : 15th International Conference, TrustBus 2018, Regensburg, Germany, September 5–6, 2018, Proceedings pp. 23​-38. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-98385-1_3 
    Details  DOI 
  • 2018 Book Chapter
    ​ ​CloudDBGuard: Enabling Sorting and Searching on Encrypted Data in NoSQL Cloud Databases​
    Waage, T.& Wiese, L. ​ (2018)
    In:​Ordonez, Carlos; Bellatreche, Ladjel​ (Eds.), Big Data Analytics and Knowledge Discovery : 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings pp. 261​-270. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-98539-8_20 
    Details  DOI 
  • 2017 Journal Article
    ​ ​A Replication Scheme for Multiple Fragmentations with Overlapping Fragments​
    Wiese, L. ; Waage, T. & Bollwein, F. ​ (2017) 
    The Computer Journal60(3) pp. 308​-328​.​ DOI: https://doi.org/10.1093/comjnl/bxw041 
    Details  DOI  WoS 
  • 2015 Monograph
    ​ ​Advanced Data Management: ​For SQL, NoSQL, Cloud and Distributed Databases​ ​
    Wiese, L. ​ (2015)
    De Gruyter. DOI: https://doi.org/10.1515/9783110441413 
    Details  DOI 
  • 2014 Journal Article | 
    ​ ​Clustering-based fragmentation and data replication for flexible query answering in distributed databases​
    Wiese, L. ​ (2014) 
    Journal of Cloud Computing3(1).​ DOI: https://doi.org/10.1186/s13677-014-0018-0 
    Details  DOI 
  • 2009 Thesis | Doctoral Thesis
    ​ ​Preprocessing for controlled query evaluation in complete first-order databases​
    Wiese, L. ​ (2009) DOI: https://doi.org/10.17877/de290r-8309 
    Details  DOI 

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