Research Areas
The focus of our research is on scalable techniques for data management and analytics. Our work targets at the synthesis of conceptual research results with prototypical deployments in different domains. Our current topics include the efficient detection of unexpected and statistically outstanding data objects, techniques that hide different kinds of person-related information in large data sets, intelligent processing of data from sensor networks and technology for modeling and execution of secure and compliant data-aware processes. We are always interested in collaborating with users as well as with researchers from other disciplines.
Publikationen
2024
A graph database for feature characterization of dislocation networks
Katzer, B.; Betsche, D.; Böhm, K.; Weygand, D.; Schulz, K.
2024. Scripta Materialia, 240, Art.-Nr.: 115841. doi:10.1016/j.scriptamat.2023.115841
Katzer, B.; Betsche, D.; Böhm, K.; Weygand, D.; Schulz, K.
2024. Scripta Materialia, 240, Art.-Nr.: 115841. doi:10.1016/j.scriptamat.2023.115841
Adaptive Bernstein change detector for high-dimensional data streams
Heyden, M.; Fouché, E.; Arzamasov, V.; Fenn, T.; Kalinke, F.; Böhm, K.
2024. Data Mining and Knowledge Discovery, 38 (3), 1334–1363. doi:10.1007/s10618-023-00999-5
Heyden, M.; Fouché, E.; Arzamasov, V.; Fenn, T.; Kalinke, F.; Böhm, K.
2024. Data Mining and Knowledge Discovery, 38 (3), 1334–1363. doi:10.1007/s10618-023-00999-5
Towards a Temporal Graph Query Language for Durable Patterns
Betsche, D.; Katzer, B.; Schulz, K.; Böhm, K.
2024. SSDBM ’24: Proceedings of the 36th International Conference on Scientific and Statistical Database Management, Rennes, 10th-112th July 2024, 1–4, Association for Computing Machinery (ACM). doi:10.1145/3676288.3676303
Betsche, D.; Katzer, B.; Schulz, K.; Böhm, K.
2024. SSDBM ’24: Proceedings of the 36th International Conference on Scientific and Statistical Database Management, Rennes, 10th-112th July 2024, 1–4, Association for Computing Machinery (ACM). doi:10.1145/3676288.3676303
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
Kalinke, F.; Szabo, Z.
2024. arxiv. doi:10.48550/arXiv.2403.07735
Kalinke, F.; Szabo, Z.
2024. arxiv. doi:10.48550/arXiv.2403.07735
Nyström Kernel Stein Discrepancy
Kalinke, F.; Szabo, Z.; Skriperumbudur, B. K.
2024. arxiv. doi:10.48550/arXiv.2406.08401
Kalinke, F.; Szabo, Z.; Skriperumbudur, B. K.
2024. arxiv. doi:10.48550/arXiv.2406.08401
Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines
Bielski, P.; Eismont, A.; Bach, J.; Leiser, F.; Kottonau, D.; Böhm, K.
2024. 15th ACM International Conference on Future and Sustainable Energy Systems, Singapur, 4th-7th June 2024, 279–290, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661967
Bielski, P.; Eismont, A.; Bach, J.; Leiser, F.; Kottonau, D.; Böhm, K.
2024. 15th ACM International Conference on Future and Sustainable Energy Systems, Singapur, 4th-7th June 2024, 279–290, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661967
Combining simulation and experimental data via surrogate modelling of continuum dislocation dynamics simulations
Katzer, B.; Betsche, D.; von Hoegen, F.; Jochum, B.; Böhm, K.; Schulz, K.
2024. Modelling and Simulation in Materials Science and Engineering, 32 (5), Art.-Nr.: 055026. doi:10.1088/1361-651X/ad4b4c
Katzer, B.; Betsche, D.; von Hoegen, F.; Jochum, B.; Böhm, K.; Schulz, K.
2024. Modelling and Simulation in Materials Science and Engineering, 32 (5), Art.-Nr.: 055026. doi:10.1088/1361-651X/ad4b4c
DEAL: Data-Efficient Active Learning for Regression Under Drift
Böhnke, B. H.; Fouché, E.; Böhm, K.
2024. Advances in Knowledge Discovery and Data Mining : 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part VI. Ed.: D.-N. Yang, 188 – 200, Springer Nature Singapore. doi:10.1007/978-981-97-2266-2_15
Böhnke, B. H.; Fouché, E.; Böhm, K.
2024. Advances in Knowledge Discovery and Data Mining : 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part VI. Ed.: D.-N. Yang, 188 – 200, Springer Nature Singapore. doi:10.1007/978-981-97-2266-2_15
Alternative feature selection with user control
Bach, J.; Böhm, K.
2024. International Journal of Data Science and Analytics. doi:10.1007/s41060-024-00527-8
Bach, J.; Böhm, K.
2024. International Journal of Data Science and Analytics. doi:10.1007/s41060-024-00527-8
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
Dinh, T. A.; Mullov, C.; Bärmann, L.; Li, Z.; Liu, D.; Reiß, S.; Lee, J.; Lerzer, N.; Gao, J.; Peller-Konrad, F.; Röddiger, T.; Waibel, A.; Asfour, T.; Beigl, M.; Stiefelhagen, R.; Dachsbacher, C.; Böhm, K.; Niehues, J.
2024. Y. Al-Onaizan, M. Bansal & Y.-N. Chen (Eds.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, 12th-16th November 2024, Hrsg.: Al-Onaizan, Y., Bansal, M., Chen, Y.-N., 11592–11610, Association for Computational Linguistics (ACL)
Dinh, T. A.; Mullov, C.; Bärmann, L.; Li, Z.; Liu, D.; Reiß, S.; Lee, J.; Lerzer, N.; Gao, J.; Peller-Konrad, F.; Röddiger, T.; Waibel, A.; Asfour, T.; Beigl, M.; Stiefelhagen, R.; Dachsbacher, C.; Böhm, K.; Niehues, J.
2024. Y. Al-Onaizan, M. Bansal & Y.-N. Chen (Eds.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, 12th-16th November 2024, Hrsg.: Al-Onaizan, Y., Bansal, M., Chen, Y.-N., 11592–11610, Association for Computational Linguistics (ACL)
2023
Nyström
Kalinke, F.; Szabó, Z.
2023. Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2023, 1005 – 1015, Machine Learning Research Press (ML Research Press)
Kalinke, F.; Szabó, Z.
2023. Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2023, 1005 – 1015, Machine Learning Research Press (ML Research Press)
Active Learning for SAT Solver Benchmarking
Fuchs, T.; Bach, J.; Iser, M.
2023. Tools and Algorithms for the Construction and Analysis of Systems. Ed.: S. Sankaranarayanan. Pt. 1, 407–425, Springer Nature Switzerland. doi:10.1007/978-3-031-30823-9_21
Fuchs, T.; Bach, J.; Iser, M.
2023. Tools and Algorithms for the Construction and Analysis of Systems. Ed.: S. Sankaranarayanan. Pt. 1, 407–425, Springer Nature Switzerland. doi:10.1007/978-3-031-30823-9_21
Adaptive Bernstein change detector for high-dimensional data streams
Heyden, M.; Fouché, E.; Arzamasov, V.; Fenn, T.; Kalinke, F.; Böhm, K.
2023. doi:10.48550/arXiv.2306.12974
Heyden, M.; Fouché, E.; Arzamasov, V.; Fenn, T.; Kalinke, F.; Böhm, K.
2023. doi:10.48550/arXiv.2306.12974
Multi-kernel Times Series Outlier Detection
Kalinke, F.; Fouché, E.; Thiessen, H.; Böhm, K.
2023. Discovery Science. DS 2023. Eds.: A. Bifet, A.C. Lorena, R.P. Ribeiro, J. Gama, P.H. Abreu, 688 – 702, Springer Nature Switzerland. doi:10.1007/978-3-031-45275-8_46
Kalinke, F.; Fouché, E.; Thiessen, H.; Böhm, K.
2023. Discovery Science. DS 2023. Eds.: A. Bifet, A.C. Lorena, R.P. Ribeiro, J. Gama, P.H. Abreu, 688 – 702, Springer Nature Switzerland. doi:10.1007/978-3-031-45275-8_46
Nyström
Kalinke, F.; Szabó, Z.
2023. doi:10.48550/arXiv.2302.09930
Kalinke, F.; Szabó, Z.
2023. doi:10.48550/arXiv.2302.09930
CH-Bench: a user-oriented benchmark for systems for efficient distant reading (design, performance, and insights)
Willkomm, J.; Raster, M.; Schäler, M.; Böhm, K.
2023. International Journal on Digital Libraries, 24 (4), 243–261. doi:10.1007/s00799-023-00347-4
Willkomm, J.; Raster, M.; Schäler, M.; Böhm, K.
2023. International Journal on Digital Libraries, 24 (4), 243–261. doi:10.1007/s00799-023-00347-4
Reduction of data-value-aware process models: A relevance-based approach
Ordoni, E.; Mülle, J.; Böhm, K.
2023. Information Systems, 114, Art.Nr. 102157. doi:10.1016/j.is.2022.102157
Ordoni, E.; Mülle, J.; Böhm, K.
2023. Information Systems, 114, Art.Nr. 102157. doi:10.1016/j.is.2022.102157
A benchmark of categorical encoders for binary classification
Matteucci, F.; Arzamasov, V.; Boehm, K.
2023. arxiv
Matteucci, F.; Arzamasov, V.; Boehm, K.
2023. arxiv
A benchmark of categorical encoders for binary classification
Matteucci, F.; Arzamasov, V.; Böhm, K.
2023. A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt & S. Levine (Eds.), Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 Hrsg.: Oh, Alice; Naumann, Tristan; Globerson, Amir; Saenko, Kate; Hardt, Moritz; Levine, Sergey, PMLR
Matteucci, F.; Arzamasov, V.; Böhm, K.
2023. A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt & S. Levine (Eds.), Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 Hrsg.: Oh, Alice; Naumann, Tristan; Globerson, Amir; Saenko, Kate; Hardt, Moritz; Levine, Sergey, PMLR
2022
Analyzing and Predicting Verification of Data-Aware Process Models – a Case Study with Spectrum Auctions
Ordoni, E.; Bach, J.; Fleck, A.
2022. IEEE Access, 10, 31699–31713. doi:10.1109/ACCESS.2022.3154445
Ordoni, E.; Bach, J.; Fleck, A.
2022. IEEE Access, 10, 31699–31713. doi:10.1109/ACCESS.2022.3154445
Efficient SVDD sampling with approximation guarantees for the decision boundary
Englhardt, A.; Trittenbach, H.; Kottke, D.; Sick, B.; Böhm, K.
2022. Machine Learning, 111 (4), 1349–1375. doi:10.1007/s10994-022-06149-0
Englhardt, A.; Trittenbach, H.; Kottke, D.; Sick, B.; Böhm, K.
2022. Machine Learning, 111 (4), 1349–1375. doi:10.1007/s10994-022-06149-0
Swellfish privacy: Supporting time-dependent relevance for continuous differential privacy
Tex, C.; Schäler, M.; Böhm, K.
2022. Information Systems, 109, Art.-Nr.: 102079. doi:10.1016/j.is.2022.102079
Tex, C.; Schäler, M.; Böhm, K.
2022. Information Systems, 109, Art.-Nr.: 102079. doi:10.1016/j.is.2022.102079
Tandem Outlier Detectors for Decentralized Data
Heyden, M.; Wilwer, J.; Fouché, E.; Thoma, S.; Matthiesen, S.; Gwosch, T.
2022. Proceedings of the 34th International Conference on Scientific and Statistical Database Management, Article: 25, Association for Computing Machinery (ACM). doi:10.1145/3538712.3538748
Heyden, M.; Wilwer, J.; Fouché, E.; Thoma, S.; Matthiesen, S.; Gwosch, T.
2022. Proceedings of the 34th International Conference on Scientific and Statistical Database Management, Article: 25, Association for Computing Machinery (ACM). doi:10.1145/3538712.3538748
An Empirical Evaluation of Constrained Feature Selection
Bach, J.; Zoller, K.; Trittenbach, H.; Schulz, K.; Böhm, K.
2022. SN Computer Science, 3 (6), Art.-Nr.: 445. doi:10.1007/s42979-022-01338-z
Bach, J.; Zoller, K.; Trittenbach, H.; Schulz, K.; Böhm, K.
2022. SN Computer Science, 3 (6), Art.-Nr.: 445. doi:10.1007/s42979-022-01338-z
Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution
Cazzolato, M. T.; Traina, A. J. M.; Böhm, K.
2022. Information Systems, 105, Art.-Nr.: 101955. doi:10.1016/j.is.2021.101955
Cazzolato, M. T.; Traina, A. J. M.; Böhm, K.
2022. Information Systems, 105, Art.-Nr.: 101955. doi:10.1016/j.is.2021.101955
Results from the Verification of Models of Spectrum Auctions
Ordoni, E.; Mülle, J.; Böhm, K.
2022. Business Modeling and Software Design – 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27–29, 2022, Proceedings, 54–68, Springer International Publishing. doi:10.1007/978-3-031-11510-3_4
Ordoni, E.; Mülle, J.; Böhm, K.
2022. Business Modeling and Software Design – 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27–29, 2022, Proceedings, 54–68, Springer International Publishing. doi:10.1007/978-3-031-11510-3_4
Efficient SVDD sampling with approximation guarantees for the decision boundary
Englhardt, A.; Trittenbach, H.; Kottke, D.; Sick, B.; Böhm, K.
2022. doi:10.48550/arXiv.2009.13853
Englhardt, A.; Trittenbach, H.; Kottke, D.; Sick, B.; Böhm, K.
2022. doi:10.48550/arXiv.2009.13853
Leveraging Constraints for User-Centric Selection of Predictive Features
Bach, J.
2022, October 6. AI Hub @ Karlsruhe (2022), Karlsruhe, Germany, October 5–7, 2022
Bach, J.
2022, October 6. AI Hub @ Karlsruhe (2022), Karlsruhe, Germany, October 5–7, 2022
Presentation for the Paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers"
Bach, J.
2022, August 2. 25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022), Haifa, Israel, August 2–5, 2022
Bach, J.
2022, August 2. 25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022), Haifa, Israel, August 2–5, 2022
Experimental Data for the Paper ’’An Empirical Evaluation of Constrained Feature Selection"
Bach, J.; Zoller, K.; Schulz, K.
2022, July 26. doi:10.5445/IR/1000148891
Bach, J.; Zoller, K.; Schulz, K.
2022, July 26. doi:10.5445/IR/1000148891
Experimental Data for the Paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers"
Bach, J.; Iser, M.
2022, May 30. doi:10.5445/IR/1000146629
Bach, J.; Iser, M.
2022, May 30. doi:10.5445/IR/1000146629
Experimental data for the paper "Analyzing and Predicting Verification of Data-Aware Process Models -- a Case Study with Spectrum Auctions"
Ordoni, E.; Bach, J.; Fleck, A.-K.
2022, February 14. doi:10.5445/IR/1000142949
Ordoni, E.; Bach, J.; Fleck, A.-K.
2022, February 14. doi:10.5445/IR/1000142949
2021
An overview and a benchmark of active learning for outlier detection with one-class classifiers
Trittenbach, H.; Englhardt, A.; Böhm, K.
2021. Expert systems with applications, 168, Art. Nr.: 114372. doi:10.1016/j.eswa.2020.114372
Trittenbach, H.; Englhardt, A.; Böhm, K.
2021. Expert systems with applications, 168, Art. Nr.: 114372. doi:10.1016/j.eswa.2020.114372
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data
Kalinke, F.; Bielski, P.; Singh, S.; Fouché, E.; Böhm, K.
2021. e-Energy ’21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems, 239–243, Association for Computing Machinery (ACM). doi:10.1145/3447555.3464863
Kalinke, F.; Bielski, P.; Singh, S.; Fouché, E.; Böhm, K.
2021. e-Energy ’21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems, 239–243, Association for Computing Machinery (ACM). doi:10.1145/3447555.3464863
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
Steinbuss, G.; Böhm, K.
2021. ACM Transactions on Knowledge Discovery from Data, 15 (4), Art.-Nr.: 3441453. doi:10.1145/3441453
Steinbuss, G.; Böhm, K.
2021. ACM Transactions on Knowledge Discovery from Data, 15 (4), Art.-Nr.: 3441453. doi:10.1145/3441453
Generating artificial outliers in the absence of genuine ones - A survey
Steinbuss, G.; Böhm, K.
2021. ACM Transactions on Knowledge Discovery from Data, 15 (2), Art.-Nr.: 30. doi:10.1145/3447822
Steinbuss, G.; Böhm, K.
2021. ACM Transactions on Knowledge Discovery from Data, 15 (2), Art.-Nr.: 30. doi:10.1145/3447822
How meaningful are similarities in deep trajectory representations?
Taghizadeh, S.; Elekes, A.; Schäler, M.; Böhm, K.
2021. Information systems, 98, Article: 101452. doi:10.1016/j.is.2019.101452
Taghizadeh, S.; Elekes, A.; Schäler, M.; Böhm, K.
2021. Information systems, 98, Article: 101452. doi:10.1016/j.is.2019.101452
Efficient subspace search in data streams
Fouché, E.; Kalinke, F.; Böhm, K.
2021. Information systems, 97, Art.-Nr. 101705. doi:10.1016/j.is.2020.101705
Fouché, E.; Kalinke, F.; Böhm, K.
2021. Information systems, 97, Art.-Nr. 101705. doi:10.1016/j.is.2020.101705
Preserving secrecy in mobile social networks
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2021. ACM Transactions on Cyber-Physical Systems, 5 (1), 5. doi:10.1145/3396071
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2021. ACM Transactions on Cyber-Physical Systems, 5 (1), 5. doi:10.1145/3396071
Scalable and data-aware SQL query recommendations
Arzamasova, N.; Böhm, K.
2021. Information systems, 96, Art.-Nr.: 101646. doi:10.1016/j.is.2020.101646
Arzamasova, N.; Böhm, K.
2021. Information systems, 96, Art.-Nr.: 101646. doi:10.1016/j.is.2020.101646
A framework for dependency estimation in heterogeneous data streams
Fouché, E.; Mazankiewicz, A.; Kalinke, F.; Böhm, K.
2021. Distributed and parallel databases, 39, 415–444. doi:10.1007/s10619-020-07295-x
Fouché, E.; Mazankiewicz, A.; Kalinke, F.; Böhm, K.
2021. Distributed and parallel databases, 39, 415–444. doi:10.1007/s10619-020-07295-x
Secrecy and performance models for query processing on outsourced graph data
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2021. Distributed and parallel databases, 39, 35–77. doi:10.1007/s10619-020-07284-0
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2021. Distributed and parallel databases, 39, 35–77. doi:10.1007/s10619-020-07284-0
REDS: Rule Extraction for Discovering Scenarios
Arzamasov, V.; Böhm, K.
2021. SIGMOD/PODS ’21: Proceedings of the 2021 International Conference on Management of Data: June 20-25, 2021, Virtual Event China, 115–128, Association for Computing Machinery (ACM). doi:10.1145/3448016.3457301
Arzamasov, V.; Böhm, K.
2021. SIGMOD/PODS ’21: Proceedings of the 2021 International Conference on Management of Data: June 20-25, 2021, Virtual Event China, 115–128, Association for Computing Machinery (ACM). doi:10.1145/3448016.3457301
An ensemble technique for better decisions based on data streams and its application to data privacy
Laforet, F.; Olms, C.; Biczok, R.; Böhm, K.
2021. IEEE Transactions on Knowledge and Data Engineering, 33 (12), 3662–3674. doi:10.1109/TKDE.2020.2977035
Laforet, F.; Olms, C.; Biczok, R.; Böhm, K.
2021. IEEE Transactions on Knowledge and Data Engineering, 33 (12), 3662–3674. doi:10.1109/TKDE.2020.2977035
Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees
Willkomm, J.; Schäler, M.; Böhm, K.
2021. Database Systems for Advanced Applications – 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part II. Ed.: C. Jensen, 721–737, Springer International Publishing. doi:10.1007/978-3-030-73197-7_50
Willkomm, J.; Schäler, M.; Böhm, K.
2021. Database Systems for Advanced Applications – 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part II. Ed.: C. Jensen, 721–737, Springer International Publishing. doi:10.1007/978-3-030-73197-7_50
Comprehensible and Robust Knowledge Discovery from Small Datasets. PhD dissertation
Arzamasov, V.
2021, July 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000134366
Arzamasov, V.
2021, July 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000134366
Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees (Extended Version)
Willkomm, J.; Schäler, M.; Böhm, K.
2021. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128678
Willkomm, J.; Schäler, M.; Böhm, K.
2021. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128678
2020
Data-driven exploration and continuum modeling of dislocation networks
Sudmanns, M.; Bach, J.; Weygand, D.; Schulz, K.
2020. Modelling and simulation in materials science and engineering, 28 (6), Art. Nr.: 065001. doi:10.1088/1361-651X/ab97ef
Sudmanns, M.; Bach, J.; Weygand, D.; Schulz, K.
2020. Modelling and simulation in materials science and engineering, 28 (6), Art. Nr.: 065001. doi:10.1088/1361-651X/ab97ef
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests
Arzamasova, N.; Bohm, K.; Goldman, B.; Saaler, C.; Schaler, M.
2020. IEEE transactions on knowledge and data engineering, 32 (10), 1982–1999. doi:10.1109/TKDE.2019.2913381
Arzamasova, N.; Bohm, K.; Goldman, B.; Saaler, C.; Schaler, M.
2020. IEEE transactions on knowledge and data engineering, 32 (10), 1982–1999. doi:10.1109/TKDE.2019.2913381
Active Learning of SVDD Hyperparameter Values
Trittenbach, H.; Böhm, K.; Assent, I.
2020. 2020 IEEE 7th International Conference on Data Science and Advanced Analytics: 6-9 Ocotber 2020, Sydney, Australia. Ed.: G. Webb, 109–117, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DSAA49011.2020.00023
Trittenbach, H.; Böhm, K.; Assent, I.
2020. 2020 IEEE 7th International Conference on Data Science and Advanced Analytics: 6-9 Ocotber 2020, Sydney, Australia. Ed.: G. Webb, 109–117, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DSAA49011.2020.00023
Finding the sweet spot: Batch selection for one-class active learning
Englhardt, A.; Trittenbach, H.; Vetter, D.; Böhm, K.
2020. Proceedings of the 2020 SIAM International Conference on Data Mining. Ed.: C. Demeniconi, 118–126, SIAM. doi:10.1137/1.9781611976236.14
Englhardt, A.; Trittenbach, H.; Vetter, D.; Böhm, K.
2020. Proceedings of the 2020 SIAM International Conference on Data Mining. Ed.: C. Demeniconi, 118–126, SIAM. doi:10.1137/1.9781611976236.14
Assistance system for an automated log-quality and assortment estimation based on data-driven approaches using hydraulic signals of forestry machines
Geiger, C.; Maier, N.; Kalinke, F.; Geimer, M.
2020. Fluid Power Future Technology! Vol. 3, 83–92, Technische Universität Dresden (TU Dresden). doi:10.25368/2020.97
Geiger, C.; Maier, N.; Kalinke, F.; Geimer, M.
2020. Fluid Power Future Technology! Vol. 3, 83–92, Technische Universität Dresden (TU Dresden). doi:10.25368/2020.97
Improving semantic change analysis by combining word embeddings and word frequencies
Englhardt, A.; Willkomm, J.; Schäler, M.; Böhm, K.
2020. International journal on digital libraries, 21 (3), 247–264. doi:10.1007/s00799-019-00271-6
Englhardt, A.; Willkomm, J.; Schäler, M.; Böhm, K.
2020. International journal on digital libraries, 21 (3), 247–264. doi:10.1007/s00799-019-00271-6
Privacy Measures and Storage Technologies for Battery-Based Load Hiding - an Overview and Experimental Study
Arzamasov, V.; Schwerdt, R.; Karrari, S.; Böhm, K.; Nguyen, T. B.
2020. e-Energy ’20: Proceedings of the Eleventh ACM International Conference on Future Energy Systems, Melbourne, Australia, 22 - 26 June 2020, 178–195, Association for Computing Machinery (ACM). doi:10.1145/3396851.3398320
Arzamasov, V.; Schwerdt, R.; Karrari, S.; Böhm, K.; Nguyen, T. B.
2020. e-Energy ’20: Proceedings of the Eleventh ACM International Conference on Future Energy Systems, Melbourne, Australia, 22 - 26 June 2020, 178–195, Association for Computing Machinery (ACM). doi:10.1145/3396851.3398320
Mining text outliers in document directories
Fouché, E.; Meng, Y.; Guo, F.; Zhuang, H.; Böhm, K.; Han, J.
2020. Proceedings 20th IEEE International Conference on Data Mining: 17-20 November 2020, Virtual Conference. Ed.: C. Plant, 152–161, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDM50108.2020.00024
Fouché, E.; Meng, Y.; Guo, F.; Zhuang, H.; Böhm, K.; Han, J.
2020. Proceedings 20th IEEE International Conference on Data Mining: 17-20 November 2020, Virtual Conference. Ed.: C. Plant, 152–161, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDM50108.2020.00024
Verification of Data-Value-Aware Processes and a Case Study on Spectrum Auctions
Ordoni, E.; Mulle, J.; Bohm, K.
2020. 2020 IEEE 22nd Conference on Business Informatics (CBI), 22 - 24 June 2020, Antwerp, Belgium, Belgium, 181–190, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI49978.2020.00027
Ordoni, E.; Mulle, J.; Bohm, K.
2020. 2020 IEEE 22nd Conference on Business Informatics (CBI), 22 - 24 June 2020, Antwerp, Belgium, Belgium, 181–190, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI49978.2020.00027
A Data-driven Approach for Estimating Relative Voltage Sensitivity
Karrari, S.; Vollmer, M.; Carne, G.; Noe, M.; Böhm, K.; Geisbüsch, J.
2020. IEEE Power & Energy Society General Meeting (PESGM 2020), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PESGM41954.2020.9281859
Karrari, S.; Vollmer, M.; Carne, G.; Noe, M.; Böhm, K.; Geisbüsch, J.
2020. IEEE Power & Energy Society General Meeting (PESGM 2020), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PESGM41954.2020.9281859
Exploring the unknown – Query synthesis in one-class active learning
Englhardt, A.; Böhm, K.
2020. Proceedings of the 2020 SIAM International Conference on Data Mining. Ed.: C. Demeniconi, 145–153, SIAM. doi:10.1137/1.9781611976236.17
Englhardt, A.; Böhm, K.
2020. Proceedings of the 2020 SIAM International Conference on Data Mining. Ed.: C. Demeniconi, 145–153, SIAM. doi:10.1137/1.9781611976236.17
Estimating Dependency, Monitoring and Knowledge Discovery in High-Dimensional Data Streams. PhD dissertation
Fouché, E.
2020, December 8. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000127232
Fouché, E.
2020, December 8. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000127232
Swellfish Privacy: Exploiting Time-Dependent Relevance for Continuous Differential Privacy : Technical Report
Tex, C.; Schäler, M.; Böhm, K.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000123707
Tex, C.; Schäler, M.; Böhm, K.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000123707
Data-driven exploration and continuum modeling of dislocation networks
Sudmanns, M.; Bach, J.; Weygand, D.; Schulz, K.
2020. doi:10.5445/IR/1000119138
Sudmanns, M.; Bach, J.; Weygand, D.; Schulz, K.
2020. doi:10.5445/IR/1000119138
2019
Scaling multi-armed bandit algorithms
Fouché, E.; Komiyama, J.; Böhm, K.
2019. 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2019; Anchorage; United States; 4 August 2019 through 8 August 2019, 1449–1459, Association for Computing Machinery (ACM). doi:10.1145/3292500.3330862
Fouché, E.; Komiyama, J.; Böhm, K.
2019. 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2019; Anchorage; United States; 4 August 2019 through 8 August 2019, 1449–1459, Association for Computing Machinery (ACM). doi:10.1145/3292500.3330862
Reducing energy time series for energy system models via self-organizing maps
Yilmaz, H. Ü.; Fouché, E.; Dengiz, T.; Krauß, L.; Keles, D.; Fichtner, W.
2019. Information technology, 61 (2-3), 125–133. doi:10.1515/itit-2019-0025
Yilmaz, H. Ü.; Fouché, E.; Dengiz, T.; Krauß, L.; Keles, D.; Fichtner, W.
2019. Information technology, 61 (2-3), 125–133. doi:10.1515/itit-2019-0025
FOBSS: Monitoring data from a modular battery system
Steinbuss, G.; Rzepka, B.; Bischof, S.; Blank, T.; Böhm, K.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 456–459, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331020
Steinbuss, G.; Rzepka, B.; Bischof, S.; Blank, T.; Böhm, K.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 456–459, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331020
A practical data-flow verification scheme for business processes
Mülle, J.; Tex, C.; Böhm, K.
2019. Information systems, 81, 136–151. doi:10.1016/j.is.2018.12.002
Mülle, J.; Tex, C.; Böhm, K.
2019. Information systems, 81, 136–151. doi:10.1016/j.is.2018.12.002
One-class active learning for outlier detection with multiple subspaces
Trittenbach, H.; Böhm, K.
2019. CIKM ’19 Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November 3-7, 2019, 811–820, Association for Computing Machinery (ACM). doi:10.1145/3357384.3357873
Trittenbach, H.; Böhm, K.
2019. CIKM ’19 Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November 3-7, 2019, 811–820, Association for Computing Machinery (ACM). doi:10.1145/3357384.3357873
Learning from few samples: Lexical substitution with word embeddings for short text classification
Elekes, Á.; Di Stefano, A. S.; Schäler, M.; Böhm, K.; Keller, M.
2019. 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019; Urbana-Champaign; United States; 2 June 2019 through 6 June 2019. Ed.: M. Bonn, 111–119, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JCDL.2019.00025
Elekes, Á.; Di Stefano, A. S.; Schäler, M.; Böhm, K.; Keller, M.
2019. 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019; Urbana-Champaign; United States; 2 June 2019 through 6 June 2019. Ed.: M. Bonn, 111–119, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JCDL.2019.00025
Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data
Popovic, D.; Fouché, E.; Böhm, K.
2019. Advances in Databases and Information Systems: 23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8–11, 2019, Proceedings. Ed.: T. Welzer, 3–19, Springer. doi:10.1007/978-3-030-28730-6_1
Popovic, D.; Fouché, E.; Böhm, K.
2019. Advances in Databases and Information Systems: 23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8–11, 2019, Proceedings. Ed.: T. Welzer, 3–19, Springer. doi:10.1007/978-3-030-28730-6_1
Validating one-class active learning with user studies – A prototype and open challenges
Trittenbach, H.; Englhardt, A.; Böhm, K.
2019. IAL 2019 Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany, September 16th, 2019. Ed.: D. Kottke, 17–31
Trittenbach, H.; Englhardt, A.; Böhm, K.
2019. IAL 2019 Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany, September 16th, 2019. Ed.: D. Kottke, 17–31
Efficient Interval-focused Similarity Search under Dynamic Time Warping
Willkomm, J.; Bettinger, J.; Schäler, M.; Böhm, K.
2019. Proceedings of the 16th International Symposium on Spatial and Temporal Databases - SSTD ’19, 130–139, Association for Computing Machinery (ACM). doi:10.1145/3340964.3340969
Willkomm, J.; Bettinger, J.; Schäler, M.; Böhm, K.
2019. Proceedings of the 16th International Symposium on Spatial and Temporal Databases - SSTD ’19, 130–139, Association for Computing Machinery (ACM). doi:10.1145/3340964.3340969
The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving
Werle, D.; Warzel, D.; Bischof, S.; Koziolek, A.; Trittenbach, H.; Böhm, K.
2019. Tenth ACM International Conference on Future Energy Systems (ACM e-Energy) and its co-located workshops, Phoenix, AZ, United States, 25th - 28th of June 2019, 482–485, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331023
Werle, D.; Warzel, D.; Bischof, S.; Koziolek, A.; Trittenbach, H.; Böhm, K.
2019. Tenth ACM International Conference on Future Energy Systems (ACM e-Energy) and its co-located workshops, Phoenix, AZ, United States, 25th - 28th of June 2019, 482–485, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331023
Iterative estimation of mutual information with error bounds
Vollmer, M.; Böhm, K.
2019. 22nd International Conference on Extending Database Technology, EDBT 2019; Lisbon; Portugal; 26 March 2019 through 29 March 2019. Ed.: Z. Kaoudi, 73–84, OpenProceedings.org. doi:10.5441/002/edbt.2019.08
Vollmer, M.; Böhm, K.
2019. 22nd International Conference on Extending Database Technology, EDBT 2019; Lisbon; Portugal; 26 March 2019 through 29 March 2019. Ed.: Z. Kaoudi, 73–84, OpenProceedings.org. doi:10.5441/002/edbt.2019.08
Understanding the effects of temporal energy-data aggregation on clustering quality
Trittenbach, H.; Bach, J.; Böhm, K.
2019. Information technology, 61 (2-3), 111–123. doi:10.1515/itit-2019-0014
Trittenbach, H.; Bach, J.; Böhm, K.
2019. Information technology, 61 (2-3), 111–123. doi:10.1515/itit-2019-0014
Data-driven crack assessment based on surface measurements
Schulz, K.; Kreis, S.; Trittenbach, H.; Böhm, K.
2019. Engineering fracture mechanics, 218, Article no: 106552. doi:10.1016/j.engfracmech.2019.106552
Schulz, K.; Kreis, S.; Trittenbach, H.; Böhm, K.
2019. Engineering fracture mechanics, 218, Article no: 106552. doi:10.1016/j.engfracmech.2019.106552
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions
Vollmer, M.; Englhardt, A.; Trittenbach, H.; Bielski, P.; Karrari, S.; Böhm, K.
2019. Tenth ACM International Conference on Future Energy Systems (ACM e-Energy) and its co-located workshops, Phoenix, AZ, United States, 25th - 28th of June 2019, 474–481, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331022
Vollmer, M.; Englhardt, A.; Trittenbach, H.; Bielski, P.; Karrari, S.; Böhm, K.
2019. Tenth ACM International Conference on Future Energy Systems (ACM e-Energy) and its co-located workshops, Phoenix, AZ, United States, 25th - 28th of June 2019, 474–481, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331022
High-resolution Industrial Production Energy (HIPE) | Version 1.0.1
Bischof, S.; Trittenbach, H.; Werle, D.; Blank, T.; Böhm, K.
2019, May 1. doi:10.5281/zenodo.14054902
Bischof, S.; Trittenbach, H.; Werle, D.; Blank, T.; Böhm, K.
2019, May 1. doi:10.5281/zenodo.14054902
On Preserving Secrecy in Mobile Social Networks
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000096955/v2
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000096955/v2
Frequent Observations from a Battery System with Subunits
Steinbuß, G.; Rzepka, B.; Bischof, S.; Blank, T.; Böhm, K.
2019. doi:10.5445/IR/1000094469
Steinbuß, G.; Rzepka, B.; Bischof, S.; Blank, T.; Böhm, K.
2019. doi:10.5445/IR/1000094469
Verifying Workflow Models with Data Values - a Case Study of SMR Spectrum Auctions
Ordoni, E.; Mülle, J.; Böhm, K.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093998
Ordoni, E.; Mülle, J.; Böhm, K.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093998
On Mutual Authorizations: Semantics, Integration Issues, and Performance
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093936
Suntaxi, G.; El Ghazi, A. A.; Böhm, K.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093936
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests
Arzamasova, N.; Böhm, K.; Goldman, B.; Saaler, C.; Schäler, M.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093761
Arzamasova, N.; Böhm, K.; Goldman, B.; Saaler, C.; Schäler, M.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093761
Minimizing Bias in Estimation of Mutual Information from Data Streams
Arzamasov, V.; Böhm, K.; Rutter, I.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000091969
Arzamasov, V.; Böhm, K.; Rutter, I.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000091969
2018
Towards Concise Models of Grid Stability
Arzamasov, V.; Böhm, K.; Jochem, P. E. P.
2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018, Art. Nr.: 8587498, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2018.8587498
Arzamasov, V.; Böhm, K.; Jochem, P. E. P.
2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018, Art. Nr.: 8587498, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2018.8587498
HIPE – An energy-Status-Data set from industrial production
Bischof, S.; Trittenbach, H.; Vollmer, M.; Werle, D.; Blank, T.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 599–603, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210278
Bischof, S.; Trittenbach, H.; Vollmer, M.; Werle, D.; Blank, T.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 599–603, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210278
Cleaning Antipatterns in an SQL Query Log
Arzamasova, N.; Schaler, M.; Bohm, K.
2018. IEEE transactions on knowledge and data engineering, 30 (3), 421–434. doi:10.1109/TKDE.2017.2772252
Arzamasova, N.; Schaler, M.; Bohm, K.
2018. IEEE transactions on knowledge and data engineering, 30 (3), 421–434. doi:10.1109/TKDE.2017.2772252
Dimension-based subspace search for outlier detection
Trittenbach, H.; Böhm, K.
2018. International Journal of Data Science and Analytics. doi:10.1007/s41060-018-0137-7
Trittenbach, H.; Böhm, K.
2018. International Journal of Data Science and Analytics. doi:10.1007/s41060-018-0137-7
Towards Meaningful Distance-preserving Encryption
Tex, C.; Schäler, M.; Böhm, K.
2018. 30th International Conference on Scientific and Statistical Database Management (SSDBM), Bozen-Bolzano, Italy, July 9 - 11, 2018, Artikel-Nr.: 2/1–12, Association for Computing Machinery (ACM). doi:10.1145/3221269.3223029
Tex, C.; Schäler, M.; Böhm, K.
2018. 30th International Conference on Scientific and Statistical Database Management (SSDBM), Bozen-Bolzano, Italy, July 9 - 11, 2018, Artikel-Nr.: 2/1–12, Association for Computing Machinery (ACM). doi:10.1145/3221269.3223029
In-database analytics with ibmdbpy
Fouché, E.; Eckert, A.; Böhm, K.
2018. 30th International Conference on Scientific and Statistical Database Management, SSDBM 2018; Bolzano-Bozen; Italy; 9 July 2018 through 11 July 2018. Ed.: M. Bohlen, Art. Nr.: 31, Association for Computing Machinery (ACM). doi:10.1145/3221269.3223026
Fouché, E.; Eckert, A.; Böhm, K.
2018. 30th International Conference on Scientific and Statistical Database Management, SSDBM 2018; Bolzano-Bozen; Italy; 9 July 2018 through 11 July 2018. Ed.: M. Bohlen, Art. Nr.: 31, Association for Computing Machinery (ACM). doi:10.1145/3221269.3223026
PrivEnergy – A privacy operator framework addressing individual concerns
Tex, C.; Hertweck, P.; Schäler, M.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 426–428, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212048
Tex, C.; Hertweck, P.; Schäler, M.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 426–428, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212048
On the tradeoff between energy data aggregation and clustering quality
Trittenbach, H.; Bach, J.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 399–401, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212038
Trittenbach, H.; Bach, J.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 399–401, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212038
Distance-based data mining over encrypted data
Tex, C.; Schäler, M.; Böhm, K.
2018. Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, F, 16-19 avril 2018, 1264–1267, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDE.2018.00126
Tex, C.; Schäler, M.; Böhm, K.
2018. Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, F, 16-19 avril 2018, 1264–1267, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDE.2018.00126
Towards Simulation-Data Science : A Case Study on Material Failures
Trittenbach, H.; Gauch, M.; Böhm, K.; Schulz, K.
2018. IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), Turin, Italy, 1-3 Oct. 2018, 450–459, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DSAA.2018.00058
Trittenbach, H.; Gauch, M.; Böhm, K.; Schulz, K.
2018. IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), Turin, Italy, 1-3 Oct. 2018, 450–459, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DSAA.2018.00058
Efficient and Reliable Estimation of Cell Positions
Cazzolato, M. T.; Traina, A. J. M.; Böhm, K.
2018. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018; Torino; Italy; 22 October 2018 through 26 October 2018. Ed.: N. Paton, 1043–1052, Association for Computing Machinery (ACM). doi:10.1145/3269206.3271734
Cazzolato, M. T.; Traina, A. J. M.; Böhm, K.
2018. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018; Torino; Italy; 22 October 2018 through 26 October 2018. Ed.: N. Paton, 1043–1052, Association for Computing Machinery (ACM). doi:10.1145/3269206.3271734
A Query Algebra for Temporal Text Corpora
Willkomm, J.; Schmidt-Petri, C.; Schäler, M.; Schefczyk, M.; Böhm, K.
2018. Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, TX, June 3-7, 2018, 183–192, Association for Computing Machinery (ACM). doi:10.1145/3197026.3197044
Willkomm, J.; Schmidt-Petri, C.; Schäler, M.; Schefczyk, M.; Böhm, K.
2018. Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, TX, June 3-7, 2018, 183–192, Association for Computing Machinery (ACM). doi:10.1145/3197026.3197044
High-resolution Industrial Production Energy (HIPE) | Version 1.0.0
Bischof, S.; Trittenbach, H.; Werle, D.; Blank, T.; Böhm, K.
2018, June 12. doi:10.5281/zenodo.14054775
Bischof, S.; Trittenbach, H.; Werle, D.; Blank, T.; Böhm, K.
2018, June 12. doi:10.5281/zenodo.14054775
Beweisbare Privatheitsgarantien durch den Einsatz wiederaufladbarer Energiespeicher
Laforet, F.; Buchmann, E.; Böhm, K.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Hrsg.: W. Breh, 43–44, KIT Scientific Publishing. doi:10.5445/IR/1000085362
Laforet, F.; Buchmann, E.; Böhm, K.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Hrsg.: W. Breh, 43–44, KIT Scientific Publishing. doi:10.5445/IR/1000085362
An Overview and a Benchmark of Active Learning for One-Class Classification
Trittenbach, H.; Englhardt, A.; Böhm, K.
2018. arXiv preprint 1808.04759
Trittenbach, H.; Englhardt, A.; Böhm, K.
2018. arXiv preprint 1808.04759
On the Tradeoff between Energy Data Aggregation and Clustering Quality
Trittenbach, H.; Bach, J.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy 2018), Karlsruhe, Germany, June 12–15, 2018
Trittenbach, H.; Bach, J.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy 2018), Karlsruhe, Germany, June 12–15, 2018
HIPE -- An Energy-Status-Data Set from Industrial Production
Bischof, S.; Trittenbach, H.; Vollmer, M.; Werle, D.; Blank, T.; Böhm, K.
2018. International Workshop on Energy Data and Analytics (EDA 2018), Karlsruhe, Germany, June 12, 2018
Bischof, S.; Trittenbach, H.; Vollmer, M.; Werle, D.; Blank, T.; Böhm, K.
2018. International Workshop on Energy Data and Analytics (EDA 2018), Karlsruhe, Germany, June 12, 2018
Comparing Predictions of Object Movements
Taghizadeh, S.; Schäler, M.; Böhm, K.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000081005
Taghizadeh, S.; Schäler, M.; Böhm, K.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000081005
Towards Simulation-Data Science : A Case Study on Material Failures
Trittenbach, H.; Gauch, M.; Böhm, K.; Schulz, K.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000079420
Trittenbach, H.; Gauch, M.; Böhm, K.; Schulz, K.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000079420