Mining Edge-Weighted Call Graphs to Localise Software Bugs F Eichinger, K Böhm, M Huber European Conference on Machine Learning and Principles and Practice of …, 2008 | 97 | 2008 |
A Time-Series Compression Technique and its Application to the Smart Grid F Eichinger, P Efros, S Karnouskos, K Böhm The VLDB Journal 24 (2), 193-218, 2015 | 85 | 2015 |
Sequence Mining for Customer Behaviour Predictions in Telecommunications F Eichinger, DD Nauck, F Klawonn Workshop on Practical Data Mining: Applications, Experiences and Challenges, 2006 | 55 | 2006 |
Improved Software Fault Detection with Graph Mining F Eichinger, K Böhm, M Huber International Workshop on Mining and Learning with Graphs (MLG), 2008 | 34 | 2008 |
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs F Eichinger, K Krogmann, R Klug, K Böhm European Conference on Machine Learning and Principles and Practice of …, 2010 | 26 | 2010 |
Data Analysis Challenges in the Future Energy Domain F Eichinger, D Pathmaperuma, H Vogt, E Müller Computational Intelligent Data Analysis for Sustainable Development, 181-242, 2013 | 25 | 2013 |
Localizing Defects in Multithreaded Programs by Mining Dynamic Call Graphs F Eichinger, V Pankratius, P Große, K Böhm Testing: Academic and Industrial Conference - Practice and Research …, 2010 | 23 | 2010 |
Software-Bug Localization with Graph Mining F Eichinger, K Böhm Managing and Mining Graph Data, 515-546, 2010 | 21 | 2010 |
On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining F Eichinger, M Huber, K Böhm BCS SGAI International Conference on Innovative Techniques and Applications …, 2010 | 11 | 2010 |
Scalable Software-Defect Localisation by Hierarchical Mining of Dynamic Call Graphs F Eichinger, C Oßner, K Böhm SIAM International Conference on Data Mining (SDM), 2011 | 9 | 2011 |
A Marketplace-Based Approach to Demand-Side Management in the Smart Grid L Briguglio, M Nigrelli, F Eichinger, JL Ruiz-Andino, V Bella ERCIM NEWS, 32-33, 2013 | 8 | 2013 |
From Source Code to Runtime Behaviour: Software Metrics Help to Select the Computer Architecture F Eichinger, D Kramer, K Böhm, W Karl Knowledge-Based Systems 23 (4), 343-349, 2010 | 7 | 2010 |
Data-Mining Techniques for Call-Graph-Based Software-Defect Localisation F Eichinger Karlsruhe Institute of Technology (KIT), Germany, 2011 | 6 | 2011 |
Data Mining for Defects in Multicore Applications: An Entropy-Based Call-Graph Technique F Eichinger, V Pankratius, K Böhm Concurrency and Computation: Practice and Experience 26 (1), 1-20, 2014 | 3 | 2014 |
Marketplaces for Energy Demand-Side Management based on Future-Internet Technology L Briguglio, F Eichinger, M Nigrelli, JL Ruiz-Andino arXiv:1304.5346, 2013 | 3 | 2013 |
Towards Scalability of Graph-Mining Based Bug Localisation F Eichinger, K Böhm International Workshop on Mining and Learning with Graphs (MLG), 2009 | 3 | 2009 |
Predicting Salaries with Random-Forest Regression F Eichinger, M Mayer Machine Learning and Data Analytics for Solving Business Problems, 1-21, 2022 | 2 | 2022 |
Selecting Computer Architectures by Means of Control-Flow-Graph Mining F Eichinger, K Böhm International Symposium on Intelligent Data Analysis (IDA), 2009 | 2 | 2009 |
Estimations of Professional Experience with Panel Data to Improve Salary Predictions F Eichinger, J Kiesel, M Dorner, S Arnold BCS SGAI International Conference on Innovative Techniques and Applications …, 2023 | | 2023 |
RecoLeta: A Recommender System for Events for Personalised E-Mail Campaigns F Eichinger, I Wietreich Datenbanksysteme für Business, Technologie und Web (BTW), 679-682, 2015 | | 2015 |