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Johannes Ruhland
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2020 – today
- 2022
- [c19]Geraldine Anna Berger, Giga Tskhvedadze, Johannes Ruhland:
Skill Systems as Expansion in Serious Games for Game-Based Learning. iLRN 2022: 1-5 - [c18]Paulina Schindler, Johannes Ruhland:
The Threat of Quantum Computing to SMEs. SAI (1) 2022: 404-413
2010 – 2019
- 2019
- [j6]Lisa Wenige, Johannes Ruhland:
Similarity-based knowledge graph queries for recommendation retrieval. Semantic Web 10(6): 1007-1037 (2019) - 2018
- [j5]Lisa Wenige
, Johannes Ruhland:
Retrieval by recommendation: using LOD technologies to improve digital library search. Int. J. Digit. Libr. 19(2-3): 253-269 (2018) - [c17]Lisa Wenige
, Geraldine Berger, Johannes Ruhland:
SKOS-Based Concept Expansion for LOD-Enabled Recommender Systems. MTSR 2018: 101-112 - 2016
- [c16]Lisa Wenige, Johannes Ruhland:
Flexible On-the-Fly Recommendations from Linked Open Data Repositories. BIS 2016: 43-54 - 2015
- [c15]Lisa Wenige
, Johannes Ruhland:
Scalable Property Aggregation for Linked Data Recommender Systems. FiCloud 2015: 451-456 - 2013
- [j4]Milan Vukicevic
, Kathrin Kirchner
, Boris Delibasic
, Milos Jovanovic, Johannes Ruhland, Milija Suknovic:
Finding best algorithmic components for clustering microarray data. Knowl. Inf. Syst. 35(1): 111-130 (2013) - [c14]Thomas Fischer
, Johannes Ruhland:
Scalable Planning in the Semantic Web - A Smart Factory Assembly Line Balancing Example. Web Intelligence 2013: 221-226 - [c13]Marek Opuszko, Johannes Ruhland:
Effects of the Network Structure on the Dynamics of Viral Marketing. Wirtschaftsinformatik 2013: 94 - 2012
- [j3]Boris Delibasic
, Milan Vukicevic
, Milos Jovanovic
, Kathrin Kirchner
, Johannes Ruhland, Milija Suknovic:
An architecture for component-based design of representative-based clustering algorithms. Data Knowl. Eng. 75: 78-98 (2012) - [c12]Marek Opuszko, Johannes Ruhland:
Classification Analysis in Complex Online Social Networks Using Semantic Web Technologies. ASONAM 2012: 1032-1039 - 2010
- [c11]Franziska Oroszi, Johannes Ruhland:
An Early Warning System for Hospital Acquired Pneumonia. ECIS 2010: 93 - [c10]Marek Opuszko, Thomas Wöhner, Ralf Peters, Johannes Ruhland:
Qualitätsmessung in der Wikipedia. MKWI 2010: 705-716 - [c9]Thomas Fischer, Johannes Ruhland:
Towards Knowledge Discovery in the Semantic Web. MKWI 2010: 1151-1162 - [c8]Thomas Fischer
, Johannes Ruhland:
A Genetic Algorithm for Optimization of a Relational Knapsack Problem with Respect to a Description Logic Knowledge Base. OR 2010: 201-206
2000 – 2009
- 2009
- [j2]Boris Delibasic
, Kathrin Kirchner
, Johannes Ruhland, Milos Jovanovic
, Milan Vukicevic
:
Reusable components for partitioning clustering algorithms. Artif. Intell. Rev. 32(1-4): 59-75 (2009) - 2008
- [c7]Johannes Ruhland, Beate Eckart, Thomas Fischer, Johannes Sternatz:
SAP-Kurse an der FSU Jena. Multikonferenz Wirtschaftsinformatik 2008 - 2007
- [c6]Boris Delibasic, Kathrin Kirchner
, Johannes Ruhland:
A Pattern Based Data Mining Approach. GfKl 2007: 327-334 - 2006
- [j1]Kathrin Kirchner, Johannes Ruhland:
Spatial Decision Support for Gas Pipe Maintenance. J. Decis. Syst. 15(2-3): 161-179 (2006) - 2004
- [c5]Kathrin Kirchner, Johannes Ruhland:
A Roadmap to Extending GIS For Public Utility Companies. GEOINFO 2004: 183-189
1990 – 1999
- 1999
- [c4]Thomas Wittmann, Johannes Ruhland:
Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing. DaWaK 1999: 359-368 - [c3]Thomas Wittmann, Johannes Ruhland, Matthias Eichholz:
Enhancing Rule Interestingness for Neuro-fuzzy Systems. PKDD 1999: 242-250 - [c2]Johannes Ruhland, Thomas Wittmann:
Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking. PKDD 1999: 530-535 - 1998
- [c1]Thomas Wittmann, Johannes Ruhland:
Fallstudie zum Knowledge Discovery in Databases mit Neuro-Fuzzy-Systemen. Workshop Data Mining und Data Warehousing 1998: 81-92
Coauthor Index
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