Frank Eichinger - researchr alias

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Viewing Publication 1 - 17 from 17

2023

Estimations of Professional Experience with Panel Data to Improve Salary PredictionsFrank Eichinger, Jannik Kiesel, Matthias Dorner, Stefan Arnold. sgai 2023: 513-518 [doi]

2022

Predicting Salaries with Random-Forest RegressionFrank Eichinger, Moritz Mayer. In Bader A. Alyoubi, Chiheb-Eddine Ben Ncir, Ibraheem Mubarak Alharbi, Anis Jarboui, editors, Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies. Unsupervised and Semi-Supervised Learning, pages 1-21, Springer, 2022. [doi]

2015

RecoLeta: A Recommender System for Events for Personalised E-Mail CampaignsFrank Eichinger, Immanuel Wietreich. btw 2015: 679-682

A time-series compression technique and its application to the smart gridFrank Eichinger, Pavel Efros, Stamatis Karnouskos, Klemens Böhm. vldb, 24(2):193-218, 2015. [doi]

2014

Data mining for defects in multicore applications: an entropy-based call-graph techniqueFrank Eichinger, Victor Pankratius, Klemens Böhm. concurrency, 26(1):1-20, 2014. [doi]

2013

A Marketplace-Based Approach to Demand-Side Management in the Smart GridLuigi Briguglio, Massimiliano Nigrelli, Frank Eichinger, Javier Lucio Ruiz-Andino, Valter Bella. ercim, 2013(92), 2013. [doi]

2011

Data-mining techniques for call-graph-based software-defect localisationFrank Eichinger. PhD thesis, Karlsruhe Institute of Technology, 2011. [doi]

Scalable Software-Defect Localisation by Hierarchical Mining of Dynamic Call GraphsFrank Eichinger, Christopher Oßner, Klemens Böhm. sdm 2011: 723-734 [doi]

2010

Software-Bug Localization with Graph MiningFrank Eichinger, Klemens Böhm. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 515-546, Springer, 2010. [doi]

On the Usefulness of Weight-Based Constraints in Frequent Subgraph MiningFrank Eichinger, Matthias Huber, Klemens Böhm. sgai 2011: 65-78 [doi]

Software-Defect Localisation by Mining Dataflow-Enabled Call GraphsFrank Eichinger, Klaus Krogmann, Roland Klug, Klemens Böhm. pkdd 2010: 425-441 [doi]

From source code to runtime behaviour: Software metrics help to select the computer architectureFrank Eichinger, David Kramer, Klemens Böhm, Wolfgang Karl. kbs, 23(4):343-349, 2010. [doi]

Localizing Defects in Multithreaded Programs by Mining Dynamic Call GraphsFrank Eichinger, Victor Pankratius, Philipp W. L. Große, Klemens Böhm. taicpart 2010: 56-71 [doi]

2009

Selecting Computer Architectures by Means of Control-Flow-Graph MiningFrank Eichinger, Klemens BÃ¶hm. ida 2009: 309-320 [doi]

From Source Code to Runtime Behaviour: Software Metrics Help to Select the Computer ArchitectureFrank Eichinger, David Kramer, Klemens BÃ¶hm, Wolfgang Karl. sgai 2010: 363-376 [doi]

2008

Kombiniertes Mining von strukturellen und relationalen DatenFrank Eichinger, Klemens Böhm. gvd 2008: 121-125 [doi]

Mining Edge-Weighted Call Graphs to Localise Software BugsFrank Eichinger, Klemens Böhm, Matthias Huber. pkdd 2008: 333-348 [doi]

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