Publikationen 2019 (25)

Auth, G.; Czarnecki, C.; Bensberg, F.; Thor, A. Digitalisierung des Forschungsprozesses aus Sicht von Forschenden – durch Serviceintegration zum persönlichen Forschungsinfor Barton T., Müller C., Seel C. (eds) Hochschulen in Zeiten der Digitalisierung. Angewandte Wirtschaftsinformatik. Springer Vieweg, Wiesbaden 2019-11

Rost, C.; Thor, A.; Rahm, E. Analyzing Temporal Graphs with Gradoop Datenbank-Spektrum 19(3) 2019-11

Frey, J.; Hofer, M.; Obraczka, D.; Lehmann, J.; Hellmann, S. DBpedia FlexiFusion The Best of Wikipedia>Wikidata>Your Data ISWC 2019 2019-10

Gomez, K.; Taeschner, M.; Rostami, M. Ali.; Rost, C.; Rahm, E. Distributed Graph Sampling with In-Memory Dataflow Systems Techn. Report, Univ. of Leipzig, arXiv:1910.04493, Oct 2019 2019-10

Röhling, M; Grimmer, M; Kreußel, D; Hoffmann, J; Franczyk, B Standardized container virtualization approach for collecting host intrusion detection data 2019 Federated Conference on Computer Science and Information Systems (FedCSIS) 2019-09-01

Christen, Victor; Christen, Peter; Rahm, Erhard Informativeness-Based Active Learning for Entity Resolution Proc. International Workshop on Data Integration and Applications(DINA@ECML-PKDD), Würzburg 2019-09

Rost, C.; Thor, A.; Fritzsche, P.; Gomez, K.; Rahm, E. Evolution Analysis of Large Graphs with Gradoop Proc. of Intl. Workshop on Advances in managing and mining large evolving graphs (LEG@ECML-PKDD) 2019-09

Thor, A.; Bornmann, L.; Haunschild, R.; Leydesdorff, L. Which are the influential publications in the Web of Science subject categories over a long period of time? Proc. of 17th Intl. Conference on Scientometrics and Informetrics (ISSI) 2019-09

Franke, M.; Sehili, Z.; Rahm, E. PRIMAT: A Toolbox for Fast Privacy-preserving Matching PVLDB 12(12): 1826-1829 2019-08

Obraczka, D.; Saeedi, A.; Rahm, E. Knowledge Graph Completion with FAMER Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner) 2019-08

Grimmer, M; Röhling, M; Kreußel, D; Ganz, S A Modern and Sophisticated Host Based Intrusion Detection Data Set 16. Deutscher IT-Sicherheitskongress 2019-05-21

Haunschild, R.; Marx, W.; Thor, A.; Bornmann, L. How to identify the roots of broad research topics and fields? The introduction of RPYS sampling Journal of Information Science 2019-04

Alkhouri, Georges; Wilke, Moritz Deep Learning zur Vorhersage von Feinstaubbelastung BTW Workshops 2019-03

Grust, T.; Naumann, F.; Böhm, A.; Lehner, W.; Härder, T.; Rahm, E.; Heuer, A.; Klettke, M.; Meyer, H. Datenbanksysteme für Business, Technologie und Web (BTW 2019) LNI 289 2019-03

Klan, Friederike; König-Ries, Birgitta; Reimann, Peter; Seeger, Bernhard; Groß, Anika Workshop on Big (and Small) Data in Science and Humanities (BigDS 2019) BTW (Workshops) 2019 2019-03

Kricke, M.; Peukert, E.; Rahm, E. Graph data transformations in GRADOOP Proc. BTW, March 2019 2019-03

Meyer, H.; Ritter, N.; Thor, A.; Nicklas, D.; Heuer, A.; Klettke, M. Datenbanksysteme für Business, Technologie und Web (BTW 2019) - Workshopband BTW 2019 2019-03

Rahm, E,; Härder, T. Editorial Datenbankspektrum 19(1) 2019-03

Rahm, E.; Nagel, W.E.; Peukert, E.; Jäkel, R.; Gärtner, F.; Stadler, P.F.; Wiegreffe, D.; Zeckzer, D.; Lehner, W. Big Data Competence Center ScaDS Dresden/Leipzig: Overview and selected research activities Datenbank-Spektrum 19 (1) 2019-03

Rost, Christopher; Thor, Andreas; Rahm, Erhard Temporal Graph Analysis using Gradoop Proc. BTW workshops, LNI 2019-03

Rostami, M.A.; Kricke, M.; Peukert, E.; Kühne, S.; Wilke, M.; Dienst, S.; Rahm, E. BIGGR: Bringing Gradoop to Applications Datenbank-Spektrum 2019-03

Franke, Martin; Gladbach, Marcel; Sehili, Ziad; Rohde, Florens; Rahm, Erhard ScaDS Research on Scalable Privacy-preserving Record Linkage Datenbank-Spektrum 2019-02

Frey, Johannes; Müller, Kay; Hellmann, Sebastian; Rahm, Erhard; Vidal, Marie-Esther Evaluation of Metadata Representations in RDF stores Semantic Web, vol. 10, no. 2, pp. 205-229, 2019 2019

Obraczka, Daniel; Ngonga Ngomo, Axel-Cyrille Dragon: Decision Tree Learning for Link Discovery Web Engineering 2019

Petermann, A. On Pattern Mining in Graph Data to Support Decision-Making Dissertation, Univ. Leipzig 2019